Top Embiot Alternatives

StarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.

icCube, an analytics solution developed in Switzerland, is specifically designed for B2B SaaS product and development teams that wish to embed sophisticated analytics within their applications. Our dashboards integrate smoothly into the user interface and experience of the SaaS solution, driven by icCube's robust analytical engine, which accommodates intricate data models while ensuring high-level security standards. Emphasizing a developer-centric methodology, the icCube team supports clients in achieving a seamless and swift transition to production. Understanding the difficulties associated with navigating data, we are excited to introduce our Data Analytics Boutique Services. This offering, which is customized for both new and existing clients, delivers effortless data integration, enhanced security, profound insights, automated decision-making capabilities, and visually compelling reports. Throughout the lifecycle of each project, we maintain a close partnership with our clients, offering everything from prompt feedback to comprehensive support during project and product launches, ensuring that their needs are fully met. Our commitment to collaboration and innovation positions us as a valuable ally in the analytics landscape.

The Open Automation Software IIoT platform supports both Windows and Linux, enabling users to harness their Industry 4.0 data efficiently. OAS serves as an unrestricted IoT Gateway compatible with various systems, including Windows, Linux, Raspberry Pi 4, and Windows IoT Core, and it facilitates the deployment of Docker containers. It offers HMI visualizations for web applications, as well as WPF and WinForm C# or VB.NET applications. Data logging capabilities extend to SQL Server, MS Access, Oracle, MySQL, Azure SQL, PostgreSQL, and Cassandra for alarms and logs. The platform includes both MQTT Broker and Client interfaces, providing seamless cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Users can leverage remote Excel Workbooks for data reading and writing, while alarm notifications can be sent through voice alerts, SMS, and email. Access to programmatic data is available via REST API and .NET, ensuring flexibility in integration. The system is compatible with a range of Allen Bradley PLCs, including ControlLogix, CompactLogix, GuardLogix, Micro800, MicroLogix, SLC 500, and PLC-5. Additionally, it supports Siemens PLCs such as S7-220, S7-3300, S7-405, S7-490, S7-1200, and S7-1500. Communication protocols include Modbus TCP, RTU, and ASCII for both Master and Slave configurations. Furthermore, the platform is compatible with OPTO-22, MTConnect, OPC UA, and OPC DA, enhancing its interoperability within various industrial environments. This extensive functionality makes the OAS platform an invaluable tool for modern industrial automation and data management.

Instant™ offers a comprehensive solution for Enterprise Data and Intelligence, enabling organizations to monitor transaction data in real-time from any corner of the globe. With a single network connection, users gain access to essential information regarding accounting, liquidity management, marketing, and supply chain operations on a worldwide scale. This capability empowers businesses with crucial enterprise intelligence, enhancing their decision-making processes. The TreasuryPay product suite not only streams global receivables information but also delivers immediate accountancy and cognitive services. It stands out as the most sophisticated platform for insights and intelligence available to multinational organizations. By harnessing this technology, companies can seamlessly distribute enriched information across their entire global network. Transitioning to this advanced system is straightforward, and the Return on Investment is exceptional. With TreasuryPay Instant™, actionable intelligence and global accountancy are now available in real-time, revolutionizing how organizations operate. Furthermore, this innovation positions companies to respond more swiftly to market dynamics, enhancing their competitive edge.

Cumulocity IoT is recognized as a leading low-code, self-service Internet of Things platform, offering seamless pre-integration with vital tools that facilitate quick results, such as device connectivity and management, application enablement, integration, and sophisticated analytics for both real-time and predictive insights. By moving away from restrictive proprietary technology frameworks, this platform embraces an open architecture that allows for the connection of any device, both now and in the future. You have the flexibility to personalize your configuration by using your own hardware and selecting the components that are most appropriate for your requirements. Within minutes, you can immerse yourself in the IoT landscape by linking a device, tracking its data, and creating a dynamic dashboard in real-time. Furthermore, you can set up rules to monitor and react to events independently, eliminating the need for IT support or any coding expertise! This platform also allows for easy integration of new IoT data into established core enterprise systems, applications, and processes that have been foundational to your business for years, again without requiring any coding, thus promoting seamless data flow. As a result, this capability enriches your situational awareness, enabling you to make more informed decisions that lead to improved business outcomes and increased efficiency. Embrace the potential of IoT technology to transform your operational processes and drive innovation within your organization.

EMQX is an exceptionally scalable and dependable MQTT messaging platform crafted by EMQ, capable of handling a staggering 100 million simultaneous IoT device connections per cluster, all while ensuring incredibly high throughput and latencies measured in sub-milliseconds. With over 20,000 users globally across more than 50 nations, EMQX successfully connects in excess of 100 million IoT devices and has earned the trust of over 300 clients in essential IoT applications, featuring prominent names such as HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson. Our versatile edge-to-cloud IoT data solutions cater to the diverse needs of various sectors undergoing digital transformation, including connected vehicles, industrial IoT, oil and gas, telecommunications, finance, smart energy, and smart cities. EMQX Enterprise stands out as the leading scalable MQTT messaging platform, offering 100 million concurrent MQTT connections, a message throughput of 1 million messages per second with under 1 millisecond latency, and business-critical reliability with an SLA of up to 99.99%. Additionally, it enables seamless integration of IoT data with more than 40 cloud services and enterprise systems. Meanwhile, EMQX Cloud serves as a fully managed MQTT service for IoT, allowing users to scale according to their needs and pay based on usage, alongside offering extensive IoT data integration options with over 40 choices. With operational capabilities across 19 regions on AWS, GCP, and Microsoft Azure, EMQX Cloud ensures 100% MQTT compliance for its users. The combination of these features positions EMQX as an unrivaled solution in the realm of IoT messaging platforms.

In the realm of IoT stream processing and analytics, SQLstream has been recognized as the leading solution by ABI Research. Our technology, utilized by major corporations such as Verizon, Walmart, Cisco, and Amazon, facilitates applications across various environments, including on-premises, cloud, and edge computing. SQLstream's capabilities allow for the generation of urgent alerts, dynamic dashboards, and immediate responses with latency measured in sub-milliseconds. This enables smart cities to efficiently redirect emergency services and optimize traffic signal operations based on current conditions. Additionally, security frameworks can swiftly identify and neutralize cyber threats, ensuring safety and integrity. Furthermore, AI and machine learning models, developed using streaming sensor inputs, are capable of forecasting potential equipment malfunctions. Due to SQLstream's remarkable speed — accommodating up to 13 million rows per second for each CPU core — organizations have significantly minimized their operational costs and physical infrastructure. Our advanced in-memory processing fosters capabilities at the edge that would typically be unfeasible. Users can acquire, prepare, analyze, and take action on data across various formats and sources seamlessly. With StreamLab, our user-friendly, low-code development environment, creating data pipelines becomes a task that can be accomplished in minutes rather than months. Instant script editing and real-time result visualization without the need for compilation streamline the development process further. Deployment is made easier with robust support for Kubernetes, simplifying integration into existing workflows. The installation process is user-friendly and compatible with a variety of platforms, including Docker, AWS, Azure, Linux, VMWare, and others, ensuring flexibility for diverse operational needs.

KX Streaming Analytics provides an all-encompassing solution for the ingestion, storage, processing, and analysis of both historical and time series data, guaranteeing that insights, analytics, and visual representations are easily accessible. To enhance user and application efficiency, the platform includes a full spectrum of data services such as query processing, tiering, migration, archiving, data protection, and scalability. Our advanced analytics and visualization capabilities, widely adopted in finance and industrial sectors, enable users to formulate and execute queries, perform calculations, conduct aggregations, and leverage machine learning and artificial intelligence across diverse streaming and historical datasets. Furthermore, this platform is adaptable to various hardware setups, allowing it to draw data from real-time business events and substantial data streams like sensors, clickstreams, RFID, GPS, social media interactions, and mobile applications. Additionally, KX Streaming Analytics’ flexibility empowers organizations to respond dynamically to shifting data requirements while harnessing real-time insights for strategic decision-making, ultimately enhancing operational efficiency and competitive advantage.

Understanding the importance of streaming data generated from various operations, transactions, sensors, and IoT devices is crucial for maximizing its potential. SAS's event stream processing provides a robust solution that integrates streaming data quality, advanced analytics, and a wide array of both SAS and open source machine learning methods, all complemented by high-frequency analytics capabilities. This cohesive approach allows for the effective connection, interpretation, cleansing, and analysis of streaming data without disruption. No matter the speed at which your data is produced, the sheer amount of data you handle, or the variety of sources you draw from, you can manage everything with ease through an intuitive interface. In addition, by establishing patterns and preparing for diverse scenarios across your organization, you can maintain flexibility and address challenges proactively as they arise, ultimately boosting your overall operational efficiency while fostering a culture of continuous improvement. This adaptability is essential in today's fast-paced data-driven environment.

IBM® StreamSets empowers users to design and manage intelligent streaming data pipelines through a user-friendly graphical interface, making it easier to integrate data seamlessly in both hybrid and multicloud settings. Renowned global organizations leverage IBM StreamSets to manage millions of data pipelines, facilitating modern analytics and the development of smart applications. This platform significantly reduces data staleness while providing real-time information at scale, efficiently processing millions of records across thousands of pipelines within seconds. The drag-and-drop processors are designed to automatically identify and adapt to data drift, ensuring that your data pipelines remain resilient to unexpected changes. Users can create streaming pipelines to ingest structured, semi-structured, or unstructured data, efficiently delivering it to various destinations while maintaining high performance and reliability. Additionally, the system's flexibility allows for rapid adjustments to evolving data needs, making it an invaluable tool for data management in today's dynamic environments.

Apama Streaming Analytics enables organizations to analyze and respond to Internet of Things (IoT) data and other dynamic information in real-time, allowing for intelligent event responses as they unfold. The Apama Community Edition, offered by Software AG, provides a freemium alternative for users to experiment, create, and implement streaming analytics applications in a hands-on environment. Moreover, the Software AG Data & Analytics Platform offers a robust and modular suite of features aimed at optimizing high-speed data management and real-time analytics, including seamless integration with all major enterprise data sources. Users can choose from various functionalities, such as streaming, predictive, and visual analytics, alongside messaging tools for easy integration with other enterprise systems, all backed by an in-memory data repository that ensures quick data access. This platform not only facilitates the incorporation of historical and varied data but also proves invaluable for developing models and enriching vital customer insights. By harnessing these advanced capabilities, organizations are empowered to uncover deeper insights, leading to more strategic and informed decision-making. Ultimately, this combination of tools and features positions businesses to thrive in a data-driven landscape.

FairCom EDGE simplifies the integration of sensor and machine data right at the source, whether it's in a factory, water treatment plant, oil rig, wind farm, or any other industrial environment. As the world's pioneering converged IoT/Industrial IoT hub, FairCom EDGE combines messaging and data persistence into a single comprehensive solution. It features browser-based tools for administration, configuration, and monitoring, streamlining the user experience. Additionally, FairCom EDGE is compatible with MQTT, OPC UA, and SQL for machine-to-machine (M2M) communication, along with HTTP/REST for real-time monitoring and reporting. The platform consistently gathers data from sensors and devices via OPC UA and captures messages from machinery using MQTT. Moreover, the data is efficiently parsed, stored, and made accessible through MQTT or SQL, ensuring seamless data management across various industrial applications. This robust functionality positions FairCom EDGE as an essential tool for modern industrial data integration.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) streamlines the creation and management of applications that utilize Apache Kafka for processing streaming data. As an open-source solution, Apache Kafka supports the development of real-time data pipelines and applications. By employing Amazon MSK, you can take advantage of Apache Kafka’s native APIs for a range of functions, including filling data lakes, enabling data interchange between databases, and supporting machine learning and analytical initiatives. Nevertheless, independently managing Apache Kafka clusters can be quite challenging, as it involves tasks such as server provisioning, manual setup, and addressing server outages. Furthermore, it requires you to manage updates and patches, design clusters for high availability, securely and durably store data, set up monitoring systems, and strategically plan for scaling to handle varying workloads. With Amazon MSK, many of these complexities are mitigated, allowing you to concentrate more on application development rather than the intricacies of infrastructure management. This results in enhanced productivity and more efficient use of resources in your projects.

Seamlessly collect, manage, and analyze video and data streams in real time with ease. Amazon Kinesis streamlines the process of gathering, processing, and evaluating streaming data, empowering users to swiftly derive meaningful insights and react to new information without hesitation. Featuring essential capabilities, Amazon Kinesis offers a budget-friendly solution for managing streaming data at any scale, while allowing for the flexibility to choose the best tools suited to your application's specific requirements. You can leverage Amazon Kinesis to capture a variety of real-time data formats, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for purposes ranging from machine learning to comprehensive analytics. This platform facilitates immediate processing and analysis of incoming data, removing the necessity to wait for full data acquisition before initiating the analysis phase. Additionally, Amazon Kinesis enables rapid ingestion, buffering, and processing of streaming data, allowing you to reveal insights in a matter of seconds or minutes, rather than enduring long waits of hours or days. The capacity to quickly respond to live data significantly improves decision-making and boosts operational efficiency across a multitude of sectors. Moreover, the integration of real-time data processing fosters innovation and adaptability, positioning organizations to thrive in an increasingly data-driven environment.

Apache Spark™ is a powerful analytics platform crafted for large-scale data processing endeavors. It excels in both batch and streaming tasks by employing an advanced Directed Acyclic Graph (DAG) scheduler, a highly effective query optimizer, and a streamlined physical execution engine. With more than 80 high-level operators at its disposal, Spark greatly facilitates the creation of parallel applications. Users can engage with the framework through a variety of shells, including Scala, Python, R, and SQL. Spark also boasts a rich ecosystem of libraries—such as SQL and DataFrames, MLlib for machine learning, GraphX for graph analysis, and Spark Streaming for processing real-time data—which can be effortlessly woven together in a single application. This platform's versatility allows it to operate across different environments, including Hadoop, Apache Mesos, Kubernetes, standalone systems, or cloud platforms. Additionally, it can interface with numerous data sources, granting access to information stored in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and many other systems, thereby offering the flexibility to accommodate a wide range of data processing requirements. Such a comprehensive array of functionalities makes Spark a vital resource for both data engineers and analysts, who rely on it for efficient data management and analysis. The combination of its capabilities ensures that users can tackle complex data challenges with greater ease and speed.

Experience real-time analytics with raw data through live ingestion from platforms like S3 and DynamoDB. Accessing this raw data is simplified, as it can be utilized in SQL tables. Within minutes, you can develop impressive data-driven applications and dynamic dashboards. Rockset serves as a serverless analytics and search engine that enables real-time applications and live dashboards effortlessly. It allows users to work directly with diverse raw data formats such as JSON, XML, and CSV. Additionally, Rockset can seamlessly import data from real-time streams, data lakes, data warehouses, and various databases without the complexity of building pipelines. As new data flows in from your sources, Rockset automatically syncs it without requiring a fixed schema. Users can leverage familiar SQL features, including filters, joins, and aggregations, to manipulate their data effectively. Every field in your data is indexed automatically by Rockset, ensuring that queries are executed at lightning speed. This rapid querying capability supports the needs of applications, microservices, and live dashboards. Enjoy the freedom to scale your operations without the hassle of managing servers, shards, or pagers, allowing you to focus on innovation instead. Moreover, this scalability ensures that your applications remain responsive and efficient as your data needs grow.

Gravio presents cutting-edge solutions for interacting with your environment by leveraging IoT, sensors, edge computing, computer vision, and artificial intelligence, all while eliminating the need for any coding knowledge. This intuitive software platform is designed to work seamlessly across Windows, macOS, and Linux operating systems. It facilitates smooth integration with a variety of input and output devices, including essential IoT sensors, AI-enhanced cameras, and popular APIs like MQTT and HTTP. Thanks to its easy-to-navigate interface, Gravio can be utilized efficiently by anyone, regardless of their technical skills. By connecting sensors, input devices, cameras, and APIs, Gravio not only gathers and shares data but also fosters innovative interactions and insights that enhance physical environments. This platform empowers businesses and individuals from a wide range of industries to create customized, interconnected experiences, whether in newly constructed spaces or existing ones, through its strong low-code/no-code capabilities. In essence, Gravio serves as a transformative tool, unlocking the immense possibilities of connected technologies for users from all walks of life, enabling them to redefine the way they engage with their surroundings. The result is a more enriched and interactive experience that promotes creativity and efficiency.

Develop sophisticated applications that enhance workflow efficiency, facilitate continuous operational oversight, and enable real-time process management. These innovative solutions are built to function around the clock on cloud infrastructure as well as edge devices. With an intuitive spreadsheet-like interface, you don't need programming skills; you can easily drag and drop data, input formulas, and generate charts effortlessly. All the necessary protocols for linking to sensors and machinery, such as MQTT, REST, and OPC UA, are conveniently provided. Streamsheets excels in handling streaming data, accommodating formats including MQTT and Kafka. You can choose a topic stream, make adjustments as necessary, and reintegrate it into the expansive realm of streaming data. Through REST, you unlock access to a wide range of web services, and Streamsheets ensures smooth bidirectional connections. Furthermore, Streamsheets can be utilized not only in cloud environments and on private servers but also on edge devices like Raspberry Pi, significantly enhancing their adaptability to diverse operational contexts. This inherent flexibility empowers companies to tailor their systems to meet specific operational demands, thereby optimizing overall performance.

The Datacake platform provides an array of tools for developing Industrial IoT applications such as condition monitoring, data logging, real-time dashboards, and in-depth data analytics. You have the ability to seamlessly connect devices and gateways via protocols like LoRaWAN or NB-IoT. The platform is designed for integration flexibility, featuring options like MQTT and other interfaces. By utilizing the Datacake IoT platform together with Ready-to-Use LoRaWAN sensors, you can efficiently oversee water levels in a variety of environments, including flowing streams, still ponds, and storage containers. Moreover, the platform includes advanced online mapping tools that enable you to visualize the current locations of your IoT assets, including sensors and machinery, on interactive maps. You can also analyze the historical paths taken by these devices, which offers valuable insights directly within the mapping interface. Additionally, there's the option to upload images and place sensors onto detailed floor plans, hall layouts, or other pertinent diagrams, facilitating a clear presentation of on-site conditions for your clients. Information can be transmitted to your devices on Datacake through webhooks, and payload decoders are available to manage HTTP requests effectively. By capitalizing on these robust features, companies can significantly boost their operational efficiency and make better-informed decisions. Ultimately, the versatility of the Datacake platform empowers businesses to create bespoke IoT solutions tailored to their specific needs.

VIA provides improved transparency across data and organizational challenges, promoting greater operational efficiency in various industries. This innovative tool enables your team to quickly spot problems, automate solutions when possible, and reduce risks that might negatively impact service quality and customer satisfaction. By emphasizing a proactive analytic value chain and prioritizing customer requirements, VIA not only identifies essential actions but also evaluates them based on their potential effects on customers, empowering you to make strategic choices that improve business results. Moreover, the VIA Solution Templates simplify the process of implementing and personalizing the Platform to meet your unique business demands, ensuring a seamless transition and enhanced flexibility. As a result, utilizing VIA can significantly enhance your operational strategies, making them more responsive and effective in addressing market needs. In today’s fast-paced business environment, such adaptability is crucial for maintaining a competitive edge.

Apache Flink is a robust framework and distributed processing engine designed for executing stateful computations on both continuous and finite data streams. It has been specifically developed to function effortlessly across different cluster settings, providing computations with remarkable in-memory speed and the ability to scale. Data in various forms is produced as a steady stream of events, which includes credit card transactions, sensor readings, machine logs, and user activities on websites or mobile applications. The strengths of Apache Flink become especially apparent in its ability to manage both unbounded and bounded data sets effectively. Its sophisticated handling of time and state enables Flink's runtime to cater to a diverse array of applications that work with unbounded streams. When it comes to bounded streams, Flink utilizes tailored algorithms and data structures that are optimized for fixed-size data collections, ensuring exceptional performance. In addition, Flink's capability to integrate with various resource managers adds to its adaptability across different computing platforms. As a result, Flink proves to be an invaluable resource for developers in pursuit of efficient and dependable solutions for stream processing, making it a go-to choice in the data engineering landscape.

The Data Collection Core, developed by Iotsmart, is an innovative software solution designed for the efficient real-time collection of data from OPC Servers and a variety of devices, processing this information while enabling simultaneous output to multiple storage solutions to consolidate data from all connected devices in a single, centralized hub. It can be deployed in either cloud environments or on-premises settings, utilizing options such as Azure IoT Edge, AWS IoT Edge, or virtual machines configured with containers. This versatility guarantees accurate data acquisition directly from sensors while seamlessly interfacing with OPC UA and HTTPS outputs, facilitating the integration of numerous devices with performance levels that exceed traditional client solutions. Furthermore, the system is equipped with server redundancy for both OPC UA and MQTT, which enhances reliability and ensures continuous operation. Our dedicated team of IoT experts is readily available to offer assistance, providing troubleshooting support and customized customer service to improve your overall experience. By allowing us to manage your digital solutions, you can focus on effectively operating your business without distractions. The entire system is conveniently packaged using Docker images, which simplifies deployment across various cloud platforms, including Azure and AWS, and guarantees both flexibility and scalability for your operations. This comprehensive approach enables businesses to harness the full potential of their IoT infrastructure.

DeltaStream serves as a comprehensive serverless streaming processing platform that works effortlessly with various streaming storage solutions. Envision it as a computational layer that enhances your streaming storage capabilities. The platform delivers both streaming databases and analytics, along with a suite of tools that facilitate the management, processing, safeguarding, and sharing of streaming data in a cohesive manner. Equipped with a SQL-based interface, DeltaStream simplifies the creation of stream processing applications, such as streaming pipelines, and harnesses the power of Apache Flink, a versatile stream processing engine. However, DeltaStream transcends being merely a query-processing layer above systems like Kafka or Kinesis; it introduces relational database principles into the realm of data streaming, incorporating features like namespacing and role-based access control. This enables users to securely access and manipulate their streaming data, irrespective of its storage location, thereby enhancing the overall data management experience. With its robust architecture, DeltaStream not only streamlines data workflows but also fosters a more secure and efficient environment for handling real-time data streams.

Tatsoft's FactoryStudio equips users with the essential tools to swiftly create robust and secure industrial applications. Its features encompass real-time data modeling and logging, an MQTT client/broker, comprehensive audit trails, alarms and incidents management, a visual SQL query gateway, high-performance smart screens, and HTML5 dashboards, along with WPF drawing tools, an iOS app, trend analysis, annotations, reporting capabilities, and much more! You have the flexibility to write programming scripts using C#, VB.NET, or JavaScript. With a hassle-free setup that requires no client installation and only a minimal two-minute server-side setup, you can get started almost instantly. The platform boasts a wide variety of native protocol drivers for PLCs and DCSs, in addition to compatibility with industry standards such as OPC and MQTT. If you require a specific driver that is not currently available, a toolkit is also provided to assist you in developing custom protocol drivers! FactoryStudio serves as the central data hub for your industrial ecosystem, effectively connecting IT, OT, real-time devices, and SQL data sources seamlessly while enhancing operational efficiency. This integration not only streamlines processes but also fosters better decision-making and data utilization across the board.

Azure Data Explorer offers a swift and comprehensive data analytics solution designed for real-time analysis of vast data streams originating from various sources such as websites, applications, and IoT devices. You can pose questions and conduct iterative data analyses on the fly, enhancing products and customer experiences, overseeing device performance, optimizing operations, and ultimately boosting profitability. This platform enables you to swiftly detect patterns, anomalies, and trends within your data. Discovering answers to your inquiries becomes a seamless process as you delve into new subjects. With a cost-effective structure, you can execute an unlimited number of queries without hesitation. Efficiently uncover new opportunities within your data, all while utilizing a fully managed and user-friendly analytics service that allows you to concentrate on deriving insights rather than managing infrastructure. The ability to quickly adapt to dynamic and rapidly changing data environments is a key feature of Azure Data Explorer, making it a vital tool for simplifying analytics across all forms of streaming data. This capability not only enhances decision-making but also empowers organizations to stay ahead in an increasingly data-driven landscape.

The ScaleOut Digital Twin Streaming Service™ enables the effortless development and implementation of real-time digital twins tailored for sophisticated streaming analytics. By connecting to a wide range of data sources, including Azure and AWS IoT hubs and Kafka, it significantly improves situational awareness through live, aggregated analytics. This cutting-edge cloud service can simultaneously monitor telemetry from millions of data sources, delivering immediate and comprehensive insights with state-tracking and targeted real-time feedback for various devices. Its intuitive interface simplifies deployment and presents aggregated analytics in real time, which is crucial for optimizing situational awareness. The service is adaptable for a broad spectrum of applications, such as the Internet of Things (IoT), real-time monitoring, logistics, and financial sectors. An easy-to-understand pricing model ensures a swift and hassle-free initiation. Additionally, when used in conjunction with the ScaleOut Digital Twin Builder software toolkit, the service sets the stage for an advanced era of stream processing, enabling users to harness data more effectively than ever before. This powerful combination not only boosts operational efficiency but also cultivates new opportunities for innovation across different industries, driving progress and transformation in the way businesses operate.

Enable individuals to effectively delve into and assess streaming data. By organizing, documenting, and sharing your data, you could increase productivity by as much as 95%. Once your data is in hand, you can develop applications designed for practical, real-world scenarios. Establish a data-centric security model to tackle the risks linked to open-source technologies, ensuring that data privacy remains a top priority. In addition, provide secure and user-friendly low-code data pipeline options that improve overall usability. Illuminate all hidden facets and deliver unparalleled transparency into your data and applications. Seamlessly integrate your data mesh and technology stack, which empowers you to confidently leverage open-source solutions in live production environments. Lenses has gained recognition as the leading product for real-time stream analytics, as confirmed by independent third-party assessments. With insights collected from our community and extensive engineering efforts, we have crafted features that enable you to focus on what truly adds value from your real-time data. Furthermore, you can deploy and manage SQL-based real-time applications effortlessly across any Kafka Connect or Kubernetes environment, including AWS EKS, simplifying the process of tapping into your data's potential. This approach not only streamlines operations but also opens the door to new avenues for innovation and growth in your organization. By embracing these strategies, you position yourself to thrive in an increasingly data-driven landscape.

Evam's Continuous Intelligence Platform is designed to seamlessly integrate a range of products focused on the real-time processing and visualization of data streams. Its functionality includes the real-time operation of machine learning models, boosted by a sophisticated in-memory caching system for enhanced data management. This innovative platform empowers businesses across sectors such as telecommunications, financial services, retail, transportation, and travel to maximize their operational efficiency. By leveraging advanced machine learning capabilities, it facilitates the processing of live data, which in turn enables the intricate design and orchestration of customer journeys through the use of advanced analytical models and AI algorithms. Additionally, EVAM provides businesses with the tools to engage customers across different channels, including older legacy systems, in real time. Capable of handling and processing billions of events in an instant, companies can derive critical insights into their customers’ preferences, leading to more effective strategies for attracting, engaging, and retaining clients. Moreover, the system not only boosts operational efficiency but also cultivates stronger and more meaningful relationships with customers, ultimately driving long-term success.

Keen operates as a comprehensive event streaming platform that is fully managed. By utilizing a real-time data pipeline built on Apache Kafka, it simplifies the process of gathering significant volumes of event data. The robust REST APIs and SDKs provided by Keen enable event data collection from any internet-connected device, enhancing versatility and accessibility. Additionally, our platform ensures the secure storage of your data, effectively minimizing operational and delivery risks associated with data handling. The use of Apache Cassandra's storage framework guarantees that your data remains secure during transit through HTTPS and TLS protocols. Furthermore, this data is safeguarded with multilayer AES encryption, reinforcing its protection. With Access Keys, you can present data in flexible formats without needing to overhaul or restructure the existing data model. The implementation of Role-based Access Control provides the ability to define customizable permission levels, allowing for granular control down to specific queries or individual data points. This level of flexibility in user access is crucial for maintaining both security and efficiency in data management.

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

Dash and Dash Enterprise empower users to create and distribute analytic web applications utilizing Python, R, or Julia, eliminating the need for JavaScript or DevOps expertise. Leading companies worldwide leverage AI, machine learning, and Python analytics, achieving remarkable results at a significantly lower expense compared to traditional full-stack development. Dash serves as their solution. Applications and dashboards capable of executing sophisticated analyses, including natural language processing, forecasting, and computer vision, can be efficiently delivered. You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs. Dash enables rapid deployment and updates of applications without requiring a dedicated IT or DevOps team. Furthermore, you can design visually stunning web apps and dashboards without any need for CSS coding. Kubernetes simplifies scaling processes, and the platform also ensures high availability for essential Python applications, making it an ideal choice for businesses looking to enhance their analytical capabilities. Overall, Dash and Dash Enterprise revolutionize the way organizations approach analytics and application development.

You might not realize where your knowledge may be lacking. Stratifyd is designed to illuminate the trends and anomalies that indicate when changes are required in your interactions with customers, products, and employees. It brings together and harmonizes various voice of the customer data from a wide array of sources—including first- and third-party data, social media, chat communications, spoken dialogues, reviews, and more—into a cohesive, secure, and dependable Experience Analytics Platform, drawing upon a vast repository of experience, operational, behavioral, public data, and open API connections. By harnessing the power of Smart AI, you can quickly concentrate on the pivotal moments that are most significant. This enables you to effectively manage a continuous influx of customer experience, behavioral, and operational information to reveal and anticipate critical themes, discrepancies, emotions, and patterns, all without requiring any data science or coding skills. It is vital to show that you genuinely appreciate customer feedback. By actively addressing the insights that matter, you can enhance customer retention, nurture loyalty, and optimize operations. Additionally, this method allows organizations to make well-informed decisions, ultimately resulting in better overall performance and a stronger connection with their audience. Such proactive engagement can set a business apart in a competitive landscape.

The commercial edition of Jaspersoft® provides all the necessary tools for creating and presenting any report you require. With more than twenty years of refinement, our platform enables you to provide the data visualizations and analytics that your clients desire, encompassing everything from meticulously crafted reports to self-service options for ad hoc inquiries and beyond. By utilizing Jaspersoft, you can meet your customers' reporting and analytical needs without overwhelming your development team, allowing them to focus on other critical tasks.

Introducing an MQTT Broker meticulously crafted to fulfill all your needs for implementing and expanding IoT applications. This platform boasts an efficient REST API, a rich dashboard equipped with customizable widgets, and a comprehensive data storage system, among others. Users are empowered to quickly gain insights into their IoT devices, tracking client connections and disconnections alongside vital data via multiple dashboard widgets. The system enhances user experience by offering alerts and color-coded indicators triggered by specific value thresholds. Additionally, it includes a powerful rules engine that transforms MQTT messages to streamline machine-to-machine communication automation, supporting both event-driven and timer-based rules, which allow users to identify data trends and automate relevant responses. For secure communications between devices, it employs a publish and subscribe messaging model reinforced by dual layers of security, featuring SSL/TLS encryption for connectivity and optional username/password authentication. Furthermore, robust web security measures are integrated for safe data access. To maintain high availability, the broker can function with multiple message brokers concurrently, ensuring efficient data collection and message distribution from devices. This architecture guarantees an impressive 99.99% success rate in data retrieval, providing reliability in the face of software challenges. Additionally, the system's adaptability facilitates effortless integration with a variety of IoT applications and services, making it an ideal solution for diverse deployment scenarios. Ultimately, this MQTT Broker stands out as a reliable and versatile choice for any IoT project.

Eclipse Kura™ is a versatile, open-source framework tailored for IoT Edge applications and is built on Java/OSGi. It equips developers with access to a variety of hardware interfaces commonly found in IoT gateways, including serial ports, GPS, watchdog timers, GPIOs, and I2C. Among its robust features, Kura offers pre-configured field protocols such as Modbus, OPC-UA, and S7, an application container, and a web-based visual programming tool that simplifies data acquisition from the field, enables edge processing, and facilitates efficient publishing to major IoT cloud platforms through MQTT. The emergence of an IoT service gateway model that employs modern software architectures at the edge of IoT deployments serves as a cohesive controller and aggregator, allowing for the seamless integration of cutting-edge enterprise technologies into IoT gateways. By leveraging advanced software frameworks that alleviate the complexities associated with hardware and networking, the development and reusability of integrated hardware-software solutions are significantly enhanced, promoting innovation and increasing efficiency in IoT initiatives. This transformation not only streamlines the development process but also allows developers to allocate their efforts towards application logic instead of wrestling with technical hurdles, ultimately driving more impactful IoT solutions.

The Waylay platform serves as a versatile IoT solution that provides advanced OEM technology for backend development and operational tasks, enabling swift deployment of IoT solutions on a grand scale. It boasts advanced rule logic modeling and execution capabilities, along with thorough lifecycle management features. This platform can automate a wide range of data workflows, no matter how intricate they may be. Specifically designed to manage the varied data patterns prevalent in IoT, OT, and IT, Waylay integrates both streaming and time series analytics into a cohesive intelligence environment. By equipping non-developer teams with intuitive, self-service applications centered around key performance indicators, it effectively reduces the time required to bring IoT products to market. Users can pinpoint the most suitable automation tools for their unique IoT needs and assess them against predefined benchmarks. Moreover, the process of developing IoT applications markedly differs from traditional IT development, as it requires the integration of the physical aspects of Operations Technology—like sensors and actuators—with the digital framework of Information Technology, which includes databases and software systems. This convergence of physical and digital realms emphasizes the distinct challenges and opportunities that arise in the realm of IoT application development. As a result, organizations can leverage these insights to create more effective and responsive IoT solutions.

Enlighted, in collaboration with its partners, creates innovative applications that greatly improve operational efficiencies and enhance occupant experiences, while also increasing productivity and optimizing the use of resources and assets. The technology is equipped with sensors that can detect motion, temperature, and light levels in a space. Furthermore, asset tags and badges leverage Bluetooth technology for communication with these sensors, allowing for accurate tracking of assets and individuals alike. Users have the option to manually control the lighting or to utilize automated systems for room management. This state-of-the-art technology features some of the industry's leading software-defined sensors that gather and integrate multiple data streams seamlessly. In addition, a gateway is responsible for sending the data collected by the sensors to the energy manager, where it undergoes thorough analysis and reporting. With a simple button press, occupants can easily adjust preset lighting settings and preferences, ensuring their comfort is always prioritized. This capability not only enhances user satisfaction but also promotes a tailored experience that meets individual requirements. Ultimately, the system fosters an adaptable environment that aligns with the diverse needs of all users.

Embracing a truly agnostic approach, Ayla enables seamless connectivity for devices across a variety of transport protocols, connectivity options, and cloud infrastructure. It effortlessly supports protocols like HTTPS, MQTT, and CoAP, and features an extensive array of pre-configured agents tailored for embedded solutions, gateways, Android, Linux, BLE/phone, and cloud integrations. The Virtualization Engine of Ayla creates an effective 'digital twin' of each physical device, which is essential for comprehensive device management in the IoT landscape. With established capabilities such as a rules engine, firmware OTA updates, and data policies, Ayla’s Device Management system provides thorough support for connected products throughout their entire lifecycle. The application enablement offered by Ayla empowers businesses to extract substantial value from their data through multiple approaches. Moreover, Ayla’s Web Framework and Mobile Platform SDK allow for rapid creation of both consumer mobile and business applications. In addition, Ayla's services also encompass Customer Care, Field Service, and Asset Tracking, which further enhance operational efficiency and boost customer satisfaction. Collectively, Ayla's solutions are strategically designed to enhance connectivity and effectively streamline the management of IoT devices, making it a vital resource for businesses in the technology-driven market. This positions Ayla as a key player in the evolving landscape of Internet of Things technology.

A fully managed cloud solution designed for seamless device registration, connectivity, control, rapid visualization, and data storage. By incorporating chip, application, and cloud technologies, users can maximize the capabilities of Watson's cognitive APIs, benefit from feature-rich dashboards, access extensive developer tools, and enjoy robust security measures to improve insights within the enterprise IoT landscape. This service delivers predictive, real-time, and edge analytics for user, machine, and environmental data, leveraging machine learning and cognitive APIs to enhance its effectiveness. It also provides governance across applications and devices in the IoT ecosystem, tracking usage and performance patterns, identifying anomalies, and ensuring the integrity of data and transactions. The platform interconnects IoT devices, networks, and gateways through a growing ecosystem that utilizes open standards for communication, including MQTT and HTTPS. Additionally, it enables users to identify, aggregate, and transform data from diverse IoT sources into organized asset-centric information. Users can tap into their IoT data to uncover insights regarding present conditions and trends, analyze unstructured information from videos and images, and derive meaningful insights from unstructured text data. By leveraging these capabilities, organizations are empowered to make well-informed decisions grounded in thorough data analysis and visualization, ultimately fostering a data-driven culture. This comprehensive approach ensures that businesses can continuously adapt and innovate in an ever-evolving technological landscape.

HULFT IoT acts as a powerful managed file transfer middleware specifically designed for IoT devices, ensuring data integrity in critical situations such as payment processing, security measures, and real-time monitoring. Although collecting IoT data using protocols like MQTT or HTTPS can be challenging for users, HULFT IoT alleviates this difficulty by only requiring the installation of its software, which allows for rapid data acquisition. Furthermore, with the incorporation of DataSpider Servista, our enterprise application integration (EAI) tool, users can effortlessly connect various applications to the data collected by HULFT IoT without the need for any programming, thanks to an intuitive drag-and-drop setup. A machine tool manufacturer that previously relied on conducting in-person inspections and maintenance found that each of their devices produced operational log data during these visits. By examining this log data, they successfully predicted maintenance requirements. In a bid to improve their operational workflow, the manufacturer aimed to implement remote monitoring of their devices and organize maintenance staff as required. However, they faced a significant hurdle, as each device generated around 10GB of log data each day, which added complexity to their data management process. Recognizing the urgency of their situation, they identified the need for an effective and streamlined solution capable of managing such large volumes of data efficiently while maintaining operational effectiveness.

BlackLynx's accelerators deliver crucial analytical functions right where they are most needed, removing the need for specialized knowledge. No matter the elements of your analytics architecture, you can elevate your data-driven organization through effective and user-friendly heterogeneous computing solutions. The combination of BlackStack's software with hardware significantly enhances the processing speeds of sensors employed in ground, naval, aerial, or space missions. Our software accelerates relevant AI/ML algorithms and multiple computational tasks swiftly, focusing on real-time sensor processing that includes tasks like signal detection, video analytics, missile tracking, radar interpretation, thermal imaging, and other object detection capabilities. Utilizing BlackStack software allows organizations to dramatically speed up the processing of real-time data analytics. We enable our clients to explore large quantities of rapidly changing unstructured data, facilitating the collection, filtering, and systematic organization of extensive intelligence or cybersecurity forensic information, thus fostering a more nimble and responsive analytical landscape. This methodology not only optimizes data management but also improves decision-making processes across various industries, leading to more informed and timely actions. As a result, organizations can respond more effectively to challenges and opportunities in their respective fields.

IBM Streams processes a wide range of streaming information, encompassing unstructured text, video, audio, geospatial data, and sensor inputs, which allows organizations to discover opportunities and reduce risks while making prompt decisions. Utilizing IBM® Streams, users can convert swiftly evolving data into valuable insights. This platform assesses different types of streaming data, equipping organizations to detect trends and threats as they emerge. When combined with the other features of IBM Cloud Pak® for Data, which is built on a versatile and open framework, it boosts collaboration among data scientists in crafting models suitable for stream flows. Additionally, it enables the real-time evaluation of extensive datasets, making it easier than ever to extract actionable value from your data. These capabilities empower organizations to fully leverage their data streams, leading to enhanced outcomes and strategic advantages in their operations. As a result, organizations can optimize their decision-making processes and drive innovation across various sectors.

Oracle Stream Analytics enables users to manage and analyze extensive streams of real-time data using sophisticated correlation methods, enrichment features, and the incorporation of machine learning. This innovative platform provides instant, actionable insights for organizations that work with streaming data, allowing for automated responses that cater to the demands of contemporary agile businesses. It includes Visual GEOProcessing with GEOFence relationship spatial analytics, which adds depth to location-based decision-making processes. Moreover, a newly launched Expressive Patterns Library offers a variety of categories, including Spatial, Statistical, General industry, and Anomaly detection, along with functionalities for streaming machine learning. With its user-friendly visual interface, individuals can effortlessly navigate live streaming data, promoting effective in-memory analytics that bolster real-time business strategies. The robust capabilities of this tool not only enhance operational efficiency but also streamline decision-making in dynamic environments, ensuring that businesses remain competitive and responsive to change. In essence, Oracle Stream Analytics stands as a vital asset for organizations aiming to thrive in the fast-evolving digital landscape.

Informatica's AI-enhanced Data Engineering Streaming revolutionizes the way data engineers can ingest, process, and analyze real-time streaming data, providing critical insights. The platform's sophisticated serverless deployment feature and built-in metering dashboard considerably alleviate the administrative workload. With the automation capabilities powered by CLAIRE®, users are able to quickly create intelligent data pipelines that incorporate functionalities such as automatic change data capture (CDC). This innovative solution supports the ingestion of a vast array of databases, millions of files, and countless streaming events. It proficiently manages these resources for both real-time data replication and streaming analytics, guaranteeing a continuous flow of information. Furthermore, it assists in discovering and cataloging all data assets across an organization, allowing users to intelligently prepare trustworthy data for advanced analytics and AI/ML projects. By optimizing these operations, organizations can tap into the full value of their data assets more efficiently than ever before, leading to enhanced decision-making capabilities and competitive advantages. This comprehensive approach to data management is transforming the landscape of data engineering and analytics.

WarpStream is a cutting-edge data streaming service that seamlessly integrates with Apache Kafka, utilizing object storage to remove the costs associated with inter-AZ networking and disk management, while also providing limitless scalability within your VPC. The installation of WarpStream relies on a stateless, auto-scaling agent binary that functions independently of local disk management requirements. This novel method enables agents to transmit data directly to and from object storage, effectively sidestepping local disk buffering and mitigating any issues related to data tiering. Users have the option to effortlessly establish new "virtual clusters" via our control plane, which can cater to different environments, teams, or projects without the complexities tied to dedicated infrastructure. With its flawless protocol compatibility with Apache Kafka, WarpStream enables you to maintain the use of your favorite tools and software without necessitating application rewrites or proprietary SDKs. By simply modifying the URL in your Kafka client library, you can start streaming right away, ensuring that you no longer need to choose between reliability and cost-effectiveness. This adaptability not only enhances operational efficiency but also cultivates a space where creativity and innovation can flourish without the limitations imposed by conventional infrastructure. Ultimately, WarpStream empowers businesses to fully leverage their data while maintaining optimal performance and flexibility.

Discover Azure Stream Analytics, an intuitive platform designed for real-time analytics perfect for crucial workloads. In just a few easy steps, users can establish a complete serverless streaming pipeline. Move from idea to execution in just minutes with SQL, which can be further customized with additional code and integrated machine learning capabilities to meet more sophisticated requirements. You can reliably handle your most demanding workloads, supported by a strong financial SLA that guarantees both performance and dependability. This versatile tool is particularly beneficial for businesses eager to leverage the advantages of real-time data processing for informed decision-making. With its user-centric design and powerful features, Azure Stream Analytics empowers organizations to adapt swiftly to changing data landscapes.

The Streaming service is a cutting-edge, serverless event streaming platform that operates in real-time and is fully compatible with Apache Kafka, catering specifically to the needs of developers and data scientists. This platform is seamlessly connected with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud, ensuring a smooth user experience. Moreover, it comes with pre-built integrations for numerous third-party applications across a variety of sectors, including DevOps, databases, big data, and software as a service (SaaS). Data engineers can easily create and oversee large-scale big data pipelines without hassle. Oracle manages all facets of infrastructure and platform maintenance for event streaming, which includes provisioning resources, scaling operations, and implementing security updates. Additionally, the service supports consumer groups that efficiently handle state for thousands of consumers, simplifying the process for developers to build scalable applications. This holistic approach not only accelerates the development workflow but also significantly boosts operational efficiency, providing a robust solution for modern data challenges. With its user-friendly features and comprehensive management, the Streaming service empowers teams to innovate without the burden of infrastructure concerns.

HiveMQ stands out as the most trusted MQTT platform for enterprises, designed specifically to facilitate connections through MQTT, ensure dependable communication, and manage IoT data effectively. Its versatility allows for deployment in various environments, whether on-premise or in the cloud, granting developers the adaptability they require as their IoT projects expand. Known for its reliability even under challenging conditions, HiveMQ scales effortlessly and incorporates enterprise-level security features that cater to organizations at any phase of their digital transformation journey. Furthermore, this flexible platform enables smooth integration with top data streaming services, databases, and analytics tools, while also providing a customizable SDK to seamlessly integrate into any technological ecosystem. As IoT demands continue to evolve, HiveMQ remains a pivotal resource for businesses aiming to leverage cutting-edge technology.

Xeotek accelerates the creation and exploration of data applications and streams for organizations with its powerful desktop and web solutions. The Xeotek KaDeck platform is designed to serve the diverse needs of developers, operations personnel, and business stakeholders alike. By offering a common platform for these user groups, KaDeck promotes collaboration, reduces miscommunication, and lessens the frequency of revisions, all while increasing transparency within teams. With Xeotek KaDeck, users obtain authoritative control over their data streams, which leads to substantial time savings by providing insights at both the data and application levels throughout projects or daily activities. Users can easily export, filter, transform, and manage their data streams in KaDeck, facilitating the simplification of intricate processes. The platform enables users to run JavaScript (NodeV4) code, create and modify test data, monitor and adjust consumer offsets, and manage their streams or topics, as well as Kafka Connect instances, schema registries, and access control lists, all through a single, intuitive interface. This all-encompassing approach not only enhances workflow efficiency but also boosts productivity across a range of teams and initiatives, ensuring that everyone can work together more effectively. Ultimately, Xeotek KaDeck stands out as a vital tool for businesses aiming to optimize their data management and application development strategies.

Gather all data from various sources and protocols into a single, extensive data set through the Cogent DataHub application. Clients have the ability to access any selected portion of this integrated data via a multitude of supported protocols, which include, but are not limited to, OPC UA, OPC Classic, Modbus, MQTT, DDE, TCP, ODBC, HTTP, and XML. This flexible data set enables a wide range of applications, such as connecting OPC servers with clients, enabling monitoring and supervisory control, archiving data to real-time historians or SQL databases, establishing alarms and alerts based on data changes, and conducting real-time analysis right within Excel. Furthermore, this holistic approach not only streamlines operations but also fosters improved collaboration and informed decision-making by granting easy access to essential information across various platforms and devices. Consequently, organizations can enhance their responsiveness and agility in a rapidly changing data landscape.