Top Dewesoft Historian Alternatives

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.

Ignition SCADA by Inductive Automation® integrates unlimited licensing with immediate web-based deployment and top-tier tools for supervisory control (SCADA), all within a single open, scalable, and universal platform. This innovative SCADA solution addresses the significant shortcomings of traditional SCADA systems. By utilizing Ignition, your organization can efficiently oversee its operations and manage data tracking, visualization, analysis, and reporting. The Ignition SCADA software encompasses a comprehensive suite of data acquisition tools, featuring OPC UA for compatibility with nearly any PLC and allowing seamless integration with any SQL database. Additionally, Ignition transforms any SQL database into an industrial historian and facilitates connections to IIoT devices through MQTT, enhancing operational capabilities significantly. As a result, Ignition SCADA not only streamlines data management but also empowers businesses to adapt to emerging technologies with ease.

X-Force Historian is specifically engineered to capture and preserve high-quality industrial big data, which paves the way for improvements in operational efficiency. Able to manage millions of tags, it boasts powerful features for collecting and storing crucial process information. Users can monitor a single process or oversee an entire facility with ease. Data can be kept locally while also being aggregated at the enterprise level, effectively accommodating even the most stringent analysis and reporting requirements. This historian tracks everything from immediate diagnostics to essential long-term records for regulatory compliance. As a high-capacity time series data historian, X-Force Historian can scale to 100,000 tags and achieve performance levels of up to 30,000 samples per second. This sophisticated process historian excels in storing the vast data generated by contemporary industrial facilities. Furthermore, it enables faster and more informed decision-making while keeping all stakeholders apprised of operational performance metrics. By implementing X-Force Historian, organizations can significantly upgrade their data management approaches, ultimately leading to enhanced productivity and operational insights. The versatility and scalability of this tool make it an invaluable asset for industries aiming to leverage data for strategic growth.

AVEVA Historian simplifies the intricate challenges of data reporting and analysis with remarkable ease. This adaptable tool can be applied to monitor either a single process or an entire facility, allowing for localized data storage while simultaneously integrating information at the corporate level. By eliminating the possibility of multiple versions of operational data, it boosts productivity, reduces the likelihood of errors, and lowers operational costs. Unlike conventional relational databases that face difficulties in production environments, Historian excels at managing time-series data, as well as handling alarms and events efficiently. Its groundbreaking "history block" technology enables the swift capture of plant data at a speed that outpaces standard database systems, all while requiring significantly less storage capacity. The integrity of the data is maintained to satisfy even the most rigorous standards. Furthermore, AVEVA Historian skillfully manages low bandwidth communication, accommodates late-arriving data, and reconciles information from systems with varying clock settings, ensuring that high-resolution data is recorded consistently and accurately. This extensive range of capabilities not only enhances data management but also positions Historian as a critical resource for contemporary industrial operations, ultimately driving innovation and efficiency in the sector.

It is essential to transition away from traditional clipboards and the tedious task of manually recording crucial plant performance data. FactoryTalk® Historian software excels at rapidly collecting operational process information from multiple sources with remarkable efficiency. This advanced software delivers an unmatched level of supervisory oversight, performance monitoring, and quality control, allowing for scaling from individual machines to the entire organization. Attempting to capture time-series data at such a pace would be impossible, even for the most diligent record keepers on the manufacturing floor. The intuitive dashboards provided by FactoryTalk Historian make this data management much more accessible. Furthermore, the enhanced capacity to predict trends based on reliable data will elevate productivity significantly. With FactoryTalk Historian Site Edition (SE), no aspect of your plant or enterprise data will go unnoticed. Its built-in redundancy and high availability ensure constant access to crucial plant information, thereby keeping your operations running without interruptions. Embracing this modern system not only enhances operational efficiency but also enables your team to dedicate their efforts to meaningful improvements. This shift can lead to a transformative impact on your overall business strategy and outcomes.

One of the standout features of the Canary Historian is its adaptability, allowing it to operate effectively both on-site and throughout an entire organization. It supports local data logging while also facilitating the real-time transfer of that data to your enterprise historian. As your operational demands grow, this solution evolves effortlessly to meet those increased requirements. A single unit of the Canary Historian can log over two million tags, and by networking multiple units, you can effortlessly handle tens of millions of tags. These enterprise historian systems can be implemented either within your own data centers or on cloud platforms such as AWS and Azure, providing flexibility in deployment. Unlike many other enterprise historian solutions, the Canary Historian does not require large specialized teams for upkeep. Functioning as a NoSQL time series database, it utilizes loss-less compression algorithms, which enhances performance without the necessity of data interpolation, presenting a notable advantage for users. This combination of features guarantees that both speed and efficiency in data management are significantly enhanced. Furthermore, the scalable nature of the system ensures that organizations can continually optimize their data strategies as they evolve.

Proficy Historian emerges as a leading software solution tailored for the collection of industrial time-series and alarms & events data, operating at exceptional speeds to guarantee safe and efficient storage, distribution, and quick access for analysis, ultimately increasing business value. With extensive experience and a proven record of thousands of successful global implementations, Proficy Historian revolutionizes the operational and competitive landscape for organizations by providing easy access to vital data for assessing asset and process performance. The newest iteration of Proficy Historian boasts enhanced usability, configurability, and maintainability, driven by significant improvements in its underlying architecture. Users can harness the solution's powerful yet user-friendly functionalities to extract fresh insights from their machinery, process data, and business tactics. Moreover, the inclusion of remote collector management greatly improves the user experience, while its horizontal scalability ensures thorough data visibility throughout the enterprise, establishing it as a critical resource for contemporary businesses. By integrating Proficy Historian into their operations, companies can unlock hidden potential, drive operational excellence, and foster a culture of continuous improvement. This transformative software not only enhances efficiency but also positions organizations to stay ahead in a competitive market.

Harness the complete capabilities of your organization's time-series data through the dataPARC Historian. This innovative solution enhances data management by ensuring seamless and secure data movement throughout your enterprise. Its architecture is designed for straightforward integration with AI, machine learning, and cloud technologies, which fosters creative adaptability and richer insights. With rapid data retrieval, sophisticated manufacturing intelligence, and the ability to scale, the dataPARC Historian emerges as the premier option for companies aiming to excel in their operations. It transcends mere data storage; it is about converting data into actionable insights with remarkable speed and accuracy. The dataPARC Historian is distinguished as more than just a data storage solution. It equips organizations with the flexibility to leverage time-series data more effectively, ensuring that decisions are well-informed and impactful, supported by a platform celebrated for its reliability and user-friendliness. Additionally, its ability to adapt to changing business needs makes it an invaluable asset for future growth and innovation.

Operators utilizing a robust SCADA system can take advantage of the eLynx Data Historian service, which offers mobile applications, comprehensive data visualizations, and sophisticated data analysis and integration tools. The eLynx data snapshot client streamlines the automatic extraction, transformation, and loading (ETL) of data from current systems. Furthermore, SCADA data can be effortlessly sent to the eLynx Azure IoT Hub using MQTT, which improves connectivity options. Certain SCADA systems also support two-way communication, allowing users to transmit commands back to the internal SCADA system through MQTT. The application is designed for customization, enabling users to create personalized interfaces that cater to their specific roles. To ensure data security, role-based measures are implemented for field operators, office personnel, and third-party users, preserving the integrity of the data. Users also have the capability to create their own views, trends, and reports, which can be shared with colleagues or kept private, depending on their preferences. To enhance ease of access to vital information, users can customize their experience by establishing their own home page, favorites, and default views, thus simplifying navigation to critical data. This extensive level of personalization not only promotes a more efficient workflow but also empowers users to prioritize the information that is most relevant to their tasks. Ultimately, such tailored experiences contribute to improved productivity and user satisfaction across the board.

ICONICS’ Hyper Historian™ is a distinguished 64-bit historian celebrated for its exceptional speed, dependability, and strength, making it well-suited for essential applications. This advanced historian utilizes a cutting-edge high compression algorithm that guarantees remarkable efficiency while maximizing resource use. It integrates effortlessly with an ISA-95-compliant asset database and features advanced big data tools like Azure SQL, Microsoft Data Lakes, Kafka, and Hadoop. As a result, Hyper Historian is acknowledged as the leading real-time plant historian specifically designed for Microsoft operating systems, providing unparalleled security and efficiency. In addition, Hyper Historian includes a module that supports both automatic and manual data entry, allowing users to import historical or log data from various databases, other historians, or even devices with intermittent connectivity. This functionality greatly bolsters data capture reliability, ensuring accurate information recording regardless of potential network interruptions. By capitalizing on swift data collection, organizations can establish extensive enterprise-wide storage solutions that promote operational excellence. Furthermore, Hyper Historian not only enhances data management but also supports businesses in making informed decisions based on real-time analytics, ultimately driving further improvements in productivity and efficiency.

At Zenith Technologies, the Data Historian team is dedicated to the development of robust Data Historian systems that effectively collect, store, analyze, and display data from diverse sources on the manufacturing floor and throughout business operations, enabling clients to gain immediate insights into their production methodologies. Our experts in manufacturing intelligence leverage the OSIsoft PI Data Historian—an industry-leading solution—and are well-versed in critical competencies such as data integration, warehousing, and visualization techniques. We provide a comprehensive range of services that encompass everything from system installation and configuration to crafting in-depth reports and engaging data visualizations. With a wealth of experience in setting up and managing Plant Historian systems, our engineers assist clients in promoting behavioral shifts, improving decision-making processes, and maintaining compliance with regulatory standards. Our team consists of experienced professionals who have successfully rolled out historian solutions in both the pharmaceutical and GxP sectors, underscoring our dedication to achieving excellence in this niche area. This deep-seated expertise empowers us to address the specific requirements of our clients, delivering customized solutions that enhance operational efficiency and lead to greater success in their endeavors. By continuously refining our methodologies, we ensure that our clients remain at the forefront of their industries.

InfluxDB is a specialized data platform crafted to manage all types of time series data, encompassing users, sensors, applications, and infrastructure, allowing for the seamless collection, storage, visualization, and transformation of insights into actionable strategies. It features a comprehensive library of over 250 open-source Telegraf plugins, simplifying the process of importing and monitoring data from a variety of systems. By empowering developers, InfluxDB facilitates the creation of innovative IoT, monitoring, and analytics applications and services. Its adaptable architecture can accommodate various implementations, whether in the cloud, at the edge, or on-premises. Moreover, its versatility, ease of access, and an array of supporting tools such as client libraries and APIs enable developers of all experience levels to swiftly create applications and services utilizing time series data. The platform is optimized for enhancing developer productivity and efficiency, allowing builders to concentrate on the essential features that add value to their internal projects and provide their applications with a competitive advantage. To assist newcomers, InfluxData provides complimentary training through InfluxDB University, ensuring that anyone can quickly acquire the skills needed to leverage this powerful platform effectively.

DataHUB+ represents an advanced process data historian and visualization solution for modern enterprises. It empowers users to monitor assets and systems in real-time across extensive networks, providing quick insights through integrated analytics and visualization tools, enabling visibility into the status of any facility, plant, or system at any given moment. Being agnostic to equipment and sensors, DataHUB+ can effortlessly import data from any IoT devices or sensors, regardless of whether the data is structured or unstructured. This adaptability allows DataHUB+ to establish itself as the definitive source of truth, ensuring all operational data is securely and reliably stored. Additionally, the platform proactively assesses data quality prior to ingestion and notifies teams of any issues that arise. Unlike traditional process historians that depend on expensive IT infrastructure, DataHUB+ is designed for easy scalability to meet the demands of enterprise data management. Furthermore, it integrates seamlessly with VROC's AI solution OPUS, facilitating forecasting, predictive maintenance, and sophisticated analytics. By removing data silos and minimizing data wrangling within organizations, DataHUB+ enhances data-driven decision-making processes. Organizations can harness DataHUB+ to gain deeper insights into their operations and drive significant improvements in efficiency.

Fernhill SCADA presents a flexible SCADA solution built on a client-server framework, designed for simplicity in both use and installation. It features drivers compatible with all major PLCs as well as widely adopted open protocols such as BACnet, DNP3, and Modbus. Moreover, it provides open data access through interfaces like OPC UA, OPC Classic, ODBC, and MQTT. Integrated historian and trending capabilities enhance its functionality. Users can operate Fernhill SCADA across various platforms, which include Windows, Linux, macOS, Android, and iOS. Notably, the runtime is offered for free, allowing for the deployment of an unlimited number of SCADA systems with just a single affordable developer license, making it a cost-effective choice for many organizations. This scalability and versatility make it an appealing option for businesses looking to optimize their monitoring and control systems.

In the current business environment, information has become an essential asset. For utilities to sustain a competitive advantage, they must be agile in responding to changing circumstances. The promptness in decision-making and action-taking plays a significant role in enhancing both quality and productivity. A key obstacle is the effective gathering, transformation, and sharing of reliable information. Having data that is both accessible and adaptable is vital for making sound operational and strategic choices. Different user groups, such as operators, managers, engineers, and maintenance supervisors, possess unique requirements and preferences for how information is presented. S+ Operations provides a robust information management system designed to boost efficiency and profitability throughout all organizational levels. This innovative system enables users to access real-time data alongside historical insights in a unified interface. Its design boasts full redundancy and a flexible architecture tailored to various customer needs. Furthermore, the integrated historian server is among the most powerful, facilitating seamless integration of process data for improved analysis and informed decision-making. By leveraging these advanced capabilities, organizations are better equipped to excel in a rapidly changing marketplace, ultimately fostering growth and sustainability.

Transform your data clarity into actionable insights with Factry Historian, a user-friendly and robust data management solution designed for the collection and storage of industrial process information. This historian software empowers your organization to convert unrefined production data into clear visual insights, helping to minimize downtime, reduce expenses, and enhance overall plant performance. As an operations or plant manager, you are likely inundated with process data that is often dispersed across various systems, spreadsheets, or even paper records. This fragmentation complicates the ability to compare batches, identify process anomalies, or consolidate parameters effectively. By selecting straightforward parameters, you can execute complex queries on your asset data quickly. With advanced insights readily available, you can eliminate the need for intricate integration scripts in favor of a simple, configurable solution that seamlessly connects to any business intelligence tool. This not only streamlines your data analysis process but also enriches your decision-making capabilities.

Graphite stands out as a powerful monitoring solution that is equally effective on cost-effective hardware and cloud platforms, which makes it a compelling option for diverse teams. Organizations leverage Graphite to efficiently track the performance metrics of their websites, applications, business services, and server networks. This innovative tool ushered in a new era of monitoring technologies, streamlining the processes involved in storing, retrieving, sharing, and visualizing time-series data. Initially conceived in 2006 by Chris Davis during his tenure at Orbitz as a side endeavor, Graphite gradually became a vital part of their monitoring toolkit. In 2008, Orbitz opted to release Graphite under the open-source Apache 2.0 license, enhancing its availability to a wider audience. Since then, numerous leading companies have adopted Graphite in their production settings to manage their e-commerce operations and plan for future expansion. The information gathered is processed through the Carbon service, which then archives it in Whisper databases for long-term retention and analysis, ensuring that essential performance metrics are consistently accessible. This detailed approach to monitoring not only empowers organizations but also enables them to make informed decisions while expanding their operations effectively. Furthermore, as technology continues to advance, the adaptability of Graphite positions it well for future developments in monitoring practices.

To significantly improve a facility's overall intelligence, each device must have the capability to connect with external systems effectively. As a result, it is essential to identify and adjust the speed, volume, and security of these data exchanges to uphold the system's coherence. An efficient communication process ensures that all relevant criteria are met by utilizing appropriate communication protocols and standards. Moreover, if the facility requires immediate monitoring of critical data or seeks to enhance performance, it is crucial to invest in the right communication tools and a robust infrastructure. This is necessary because continuous data transfer between various on-site devices and an industrial information system often requires the integration of multiple communication protocols, thereby ensuring that the information is readily accessible to the SCADA system. Additionally, the seamless interplay of these components plays a vital role in maximizing the operational efficiency and responsiveness of the plant. Ultimately, achieving this level of integration not only streamlines processes but also supports innovation and adaptability within the facility.

Kapacitor acts as a specialized data processing engine tailored for InfluxDB 1.x and plays a crucial role in the InfluxDB 2.0 architecture. This robust tool is adept at managing both real-time stream data and batch processing, delivering immediate responses through its distinctive programming language known as TICKscript. In today's technological landscape, simply relying on dashboards and operator alerts falls short; there is an increasing demand for automation and capabilities that trigger actions automatically. Utilizing a publish-subscribe model for its alerting mechanism, Kapacitor publishes alerts to designated topics, with handlers subscribing to these topics to receive the latest updates. This adaptable pub/sub framework, coupled with the capacity to run User Defined Functions, positions Kapacitor as a central control hub within various systems, capable of performing tasks such as auto-scaling, inventory management, and orchestrating IoT devices. Furthermore, the intuitive plugin architecture of Kapacitor facilitates easy integration with numerous anomaly detection tools, thereby amplifying its utility and effectiveness in the realm of data processing. Ultimately, Kapacitor's comprehensive functionality ensures that users can implement sophisticated data-driven operations with ease.

The PI System unlocks a wealth of operational insights and creates avenues for innovation. By delivering dependable and high-caliber operations data, it streamlines the journey toward digital transformation. This system enables data to be gathered, refined, and delivered in real-time from virtually any source. It equips engineers and operators with powerful tools while speeding up the analytical processes for data scientists. Furthermore, the PI System encourages new business opportunities through the aggregation of real-time information from a wide range of assets, including legacy systems, specialized equipment, remote devices, mobile technology, and IIoT innovations. It guarantees that users can retrieve their data regardless of where it resides or its format, thus facilitating the storage of extensive historical data at exceptional sub-second resolution. Organizations benefit from immediate access to high-fidelity historical, real-time, and predictive data, allowing them to uphold vital operations and extract significant business insights. By employing user-friendly labels and metadata, the data becomes more insightful, enabling users to create hierarchies that match their operational and reporting needs. This added context provides a comprehensive view, allowing individuals to connect data points to the larger narrative and make more educated choices. Consequently, the PI System not only boosts operational productivity but also propels strategic initiatives that have the potential to revolutionize entire industries. Ultimately, embracing the PI System can lead to a competitive advantage in a rapidly evolving market landscape.

OpenTSDB consists of a Time Series Daemon (TSD) and a collection of command line utilities. Users mainly interact with OpenTSDB by managing one or more standalone TSDs, which operate without a centralized master or shared state, thereby providing the flexibility to run numerous TSDs as required to handle different workloads. Each TSD relies on HBase, an open-source database, or the Google Bigtable service for the effective storage and retrieval of time-series data. The data schema is optimized for performance, allowing for quick aggregations of similar time series while also reducing storage needs. Users can access the TSD without requiring direct interaction with the backend storage system. Communication with the TSD is facilitated via a simple telnet-style protocol, an HTTP API, or an intuitive built-in graphical user interface. To start using OpenTSDB, users must first send time series data to the TSDs, and there are numerous tools designed to help import data from various sources into the system. Ultimately, OpenTSDB's architecture prioritizes both flexibility and efficiency in the management of time series data, making it a robust solution for diverse user needs.

TimescaleDB stands out as the leading open-source relational database tailored for managing time-series data, offering both managed and self-hosted options. You can trust the familiar PostgreSQL foundation, enjoying complete SQL support alongside unmatched reliability and a vast ecosystem. With the capability to write millions of data points per node, it allows for horizontal scaling up to petabytes without the hassle of high cardinality concerns. This database minimizes complexity, enabling you to pose more questions and develop more sophisticated applications. By leveraging advanced algorithms, you can achieve impressive compression rates of 94-97%, along with various performance enhancements that lead to significant cost savings. As a modern cloud-native platform, it efficiently handles all aspects of time-series data storage. Built on PostgreSQL and TimescaleDB, it represents the fastest, simplest, and most dependable method for managing your time-series information. Furthermore, all observability data falls under the umbrella of time-series data, highlighting the importance of finding efficient solutions for addressing infrastructure and application challenges. By optimizing data management, businesses can unlock valuable insights and enhance their operational efficiency.

At the heart of our innovation lies the transformative idea of in-data computing, a revolutionary technology designed for the effective processing of extensive data sets. Our flagship product, BigObject, serves as a time series database that embodies this essential technology, specifically built for the swift storage and management of large data volumes. By leveraging the capabilities of in-data computing, BigObject is proficient at rapidly and consistently managing a continuous influx of data streams. This database is tailored to perform exceptionally well in high-speed storage while also enabling comprehensive analysis of large-scale datasets. With outstanding performance and strong capabilities for intricate queries, BigObject enhances the conventional relational data model by integrating it into a time series context, thereby improving database efficiency. The core of our technology resides in a conceptual model that keeps all data within a boundless and persistent memory environment, enabling seamless storage and computation. This cutting-edge methodology not only simplifies data management but also paves the way for new opportunities in real-time data analytics. Furthermore, BigObject empowers users to make informed decisions by providing immediate insights from their data, thus driving innovation across various industries.

Sider Scan is a remarkably effective tool created for software developers to quickly identify and keep track of code duplication issues. It works effortlessly with various platforms like GitLab CI/CD, GitHub Actions, Jenkins, and CircleCI®, and can be installed through a Docker image for convenience. This tool allows team members to easily share the results of their analyses and performs continuous, swift assessments that run in the background without disruption. Users are also provided with dedicated support via both email and phone, enhancing their overall experience with the tool. By delivering thorough analyses of duplicate code, Sider Scan plays a significant role in improving the long-term quality and maintenance of codebases. It is specifically designed to complement other analysis tools, allowing development teams to produce cleaner code while facilitating a seamless continuous delivery process. The tool detects duplicate code fragments within a project and categorizes them into related groups. For each duplicate pair, a diff library is created, and pattern analyses are initiated to identify any underlying issues, a method referred to as the 'pattern' analysis technique. Additionally, to ensure effective time-series analysis, it is essential for scans to be conducted at consistent intervals, which aids in ongoing monitoring. By promoting regular assessments, Sider Scan empowers development teams to uphold high coding standards while proactively tackling duplication challenges, ultimately fostering a culture of code excellence. This consistent effort not only streamlines development processes but also encourages collaboration among team members to achieve common goals.

Implement AI-based monitoring tools to proactively tackle incidents without requiring expertise in machine learning. Azure AI Metrics Advisor, which employs the AI Anomaly Detector as part of the Azure AI Services suite, allows you to effectively monitor key growth elements within your organization, including sales and manufacturing operations. This powerful solution facilitates quick detection and resolution of issues through near real-time monitoring, adaptive modeling that caters to your unique context, and comprehensive diagnostics paired with alert notifications. The user-friendly interface of AI Metrics Advisor streamlines the management of extensive data monitoring, effortlessly integrating with popular time-series databases while also providing stream monitoring features. It assesses all possible combinations of dimensions to pinpoint affected areas for in-depth root-cause analysis and diagnostics, in addition to generating alerts. Furthermore, a guided autotuning feature is available, enabling you to customize the service to meet your specific needs, thus optimizing the overall monitoring experience. By harnessing these sophisticated capabilities, organizations can significantly boost their operational efficiency and agility in addressing new challenges, ultimately leading to improved decision-making and resource allocation. This proactive approach ensures that businesses remain ahead of potential issues, fostering a culture of continuous improvement and resilience.

RDS for MySQL, or Relational Database Service for MySQL, provides a powerful and trusted cloud-based relational database solution optimized for high performance. It includes a user-friendly web interface for streamlined management, along with reliable data backup and recovery options, as well as thorough security oversight and monitoring tools. Operating as a high-performing relational database service, RDS for MySQL is available in three distinct formats: a basic stand-alone edition, a dual high-availability model, and a unique Raft financial version. By default, it follows standard database protocols while also offering crucial features such as monitoring, automatic failover, data backup and recovery, and comprehensive instance management. Furthermore, it meets the rigorous demands of clients regarding data management and storage by providing tools for analyzing slow SQL queries and diagnostics, in addition to dependable services like cross-domain hot instance groups. RDS for MySQL also guarantees disaster recovery solutions across both single and multiple availability zones, significantly enhancing data resilience. Its adaptability and dependability render it an excellent option for organizations in search of a reliable database service. Businesses can confidently rely on RDS for MySQL to support their growing data needs in a secure and efficient environment.

The Exchange Rates API is a user-friendly and effective free service that delivers both real-time and historical exchange rates for various foreign currencies and cryptocurrencies. It ensures that users have access to accurate and current EU VAT rates, sourced directly from the databases maintained by the European Commission. Built to handle thousands of requests every second, the Exchange Rates API has been rigorously tested and is subject to ongoing performance monitoring. Users can easily incorporate it with their existing libraries, allowing for smooth integration into their current workflows. With its guarantees for uptime and the ability to scale effortlessly, the API provides responses in just milliseconds. The currency data it provides comes from trustworthy financial data providers and banks, including the European Central Bank, which enhances its accuracy and dependability. Furthermore, the API includes specialized endpoints designed for specific currency conversions and time-series data analysis, adding to its versatility for a wide range of applications. This makes it an ideal solution for developers and businesses aiming to efficiently integrate currency data into their systems. Ultimately, the Exchange Rates API stands out as a vital tool for anyone needing reliable currency information.

Machbase is an advanced time-series database specifically engineered for the immediate storage and analysis of extensive sensor data originating from various facilities. This database management system (DBMS) is unique in its capability to swiftly process and analyze large datasets, highlighting its remarkable performance. Users can leverage the incredible speed of data processing that Machbase provides. The product is designed to facilitate instant management, storage, and analysis of sensor data. By embedding the DBMS into Edge devices, it ensures quick data storage and querying. Moreover, it excels in both data storage and retrieval when utilized on a single server. With the option to set up multi-node clusters, Machbase enhances both availability and scalability. Alongside these features, it functions as an all-in-one management solution for Edge computing, efficiently handling device management, connectivity, and data processing requirements. In an ever-evolving, data-centric landscape, Machbase emerges as an indispensable resource for sectors that depend on the timely analysis of sensor data, ultimately driving innovation and efficiency. Its robust capabilities position it as a frontrunner in the realm of real-time data solutions.

Identifying anomalies within time series data is essential for the operational effectiveness of countless organizations. The Timeseries Insights API Preview allows for efficient extraction of real-time insights from time-series datasets. It offers detailed information that aids in understanding API query results, including occurrences of anomalies, anticipated value ranges, and the segments of events that have been analyzed. This functionality supports the real-time streaming of data, allowing for the prompt detection of anomalies as they arise. Backed by over 15 years of advancements in security through popular consumer services like Gmail and Search, Google Cloud presents a comprehensive end-to-end infrastructure coupled with a multi-layered security framework. The Timeseries Insights API integrates smoothly with various Google Cloud Storage services, providing a consistent access method across different storage options. Users can observe trends and anomalies across a wide array of event dimensions while managing datasets that can contain tens of billions of events. Furthermore, the platform is adept at processing thousands of queries per second, establishing it as a formidable resource for real-time data analysis and informed decision-making. Such capabilities are not only crucial for enhancing business operational efficiency but also for improving overall responsiveness in dynamic market conditions.

Get ready to set out on a groundbreaking adventure in the field of Industrial IoT! By utilizing actionable insights in real time, you can significantly boost your organization's efficiency, sustainability, quality, and safety. Effortlessly collect energy and operational data from diverse sources without being limited by vendor constraints. Implementing object-oriented data models within NoSQL data management systems allows for remarkable enhancements in the performance of time-series data storage. You will be able to supervise, configure, and manage extensive networks of sensors and gateways deployed in various environments, while also automating monitoring rules and assessing sensor health. Unlock the potential of robust cloud-based analytical tools to turn raw data into meaningful insights that can drive your operations. Whether you choose to develop custom applications or utilize an array of pre-existing energy solutions designed for your specific needs, the options are plentiful. Additionally, a virtual energy management service equips you with the ability to make informed decisions promptly, facilitating actions that optimize your value proposition. This innovative strategy not only simplifies processes but also cultivates an environment of creativity and flexibility within your organization, paving the way for future advancements. Embracing this transformative journey can position your enterprise at the forefront of technological evolution.

Checkmk serves as a robust IT monitoring solution that empowers system administrators, IT managers, and DevOps teams to swiftly detect and address problems within their entire IT ecosystem, encompassing servers, applications, networks, storage, databases, and containers. Over 2,000 commercial clients globally, along with a multitude of open-source users, rely on Checkmk for their daily monitoring needs. Some of the key features of the product include service state monitoring with nearly 2,000 pre-configured checks, event and log monitoring, comprehensive metric tracking with dynamic graphing and long-term storage capabilities, as well as in-depth reporting that covers accessibility and service level agreements (SLAs). Additionally, Checkmk offers flexible notification options accompanied by automated alert management, monitoring for complex systems and business processes, a thorough inventory of both software and hardware, and a graphical, rule-based configuration that facilitates automated service discovery. The primary applications of Checkmk encompass various monitoring activities, including server, network, application, database, storage, cloud, and container monitoring. This versatility makes it an essential tool for organizations seeking to enhance their IT infrastructure's reliability and performance. By utilizing Checkmk, teams can ensure that their systems are always running optimally and can respond proactively to potential issues before they escalate.

Anticipate challenges before they occur by utilizing the Azure AI anomaly detection service, which integrates time-series anomaly detection capabilities into your applications, enabling quick identification of issues. This AI-driven Anomaly Detector analyzes various time-series datasets and smartly selects the most effective algorithm for anomaly detection, ensuring high accuracy. It can detect anomalies like spikes, drops, deviations from normal patterns, and shifts in trends through univariate and multivariate APIs. Additionally, the service can be customized to recognize different severity levels of anomalies tailored to your requirements. You also have the option to implement the anomaly detection service in the cloud or at the intelligent edge, based on your needs. With a powerful inference engine that assesses your time-series information, the service independently determines the best anomaly detection algorithm for your context, enhancing precision. This automated detection mechanism minimizes the dependency on labeled training data, allowing you to save time and focus on addressing emerging issues, which ultimately leads to enhanced operational efficacy. By harnessing this innovative tool, organizations can take a proactive approach to managing potential interruptions and refine their strategies for response. This capability not only improves organizational resilience but also fosters a culture of continuous improvement in operations.

Examining time-series data is essential for the operational success of many enterprises. Typical uses include evaluating customer traffic and conversion percentages for businesses, detecting irregularities in datasets, uncovering instantaneous correlations from sensor data, and generating precise recommendations. With the Cloud Inference API Alpha, organizations can obtain immediate insights from their time-series data inputs. This tool delivers extensive information about the results of API queries, detailing the different categories of events examined, the total count of these event groups, and the baseline probability linked to each returned event. It supports real-time data streaming, allowing for the calculation of correlations as they happen. By utilizing Google Cloud’s robust infrastructure and a thoroughly developed security strategy refined over 15 years through diverse consumer applications, businesses can count on its reliability. Additionally, the Cloud Inference API is integrated with Google Cloud Storage services, which enhances both its functionality and user experience. This integration results in more effective data management and analysis, equipping businesses to make quicker, data-driven decisions. Ultimately, the ability to swiftly interpret time-series data can significantly influence a company’s competitive edge in the market.

The service is designed with user convenience in mind, eliminating the need for driver installations, and allows for a complete migration setup through the management console in just a few minutes. Importantly, it enables the source database to continue running, which greatly minimizes downtime for dependent applications. In the event of any complications, the service is capable of automatically restarting processes, and if it is unable to resume from the designated point in time, it will revert to the last successful migration phase. This functionality aids in migrating databases from a range of cloud platforms or local systems to Yandex's cloud-managed database offerings. To kick off the transfer, users simply initiate the data exchange between two defined endpoints. Each endpoint is preconfigured for both the source database, from which data is retrieved, and the target database, where the data is delivered. Moreover, the Yandex Data Transfer service accommodates a variety of transfer types between these endpoints, which enhances its versatility for database migration tasks. This adaptability allows users to select the transfer method that best fits their unique needs, ensuring an efficient migration experience. Ultimately, this service is a comprehensive solution that addresses the complexities of database migration while prioritizing user experience.

VictoriaMetrics Anomaly Detection is a continuous monitoring service that analyzes data within VictoriaMetrics to identify real-time unexpected variations in data patterns. This innovative solution employs customizable machine learning models to effectively pinpoint anomalies. As a vital component of our Enterprise offering, VictoriaMetrics Anomaly Detection serves as an essential resource for navigating the intricacies of system monitoring in an ever-evolving landscape. It significantly aids Site Reliability Engineers (SREs), DevOps professionals, and other teams by automating the intricate process of detecting unusual behavior in time series data. Unlike traditional threshold-based alerting systems, it leverages machine learning techniques to uncover anomalies, thereby reducing the occurrence of false positives and alleviating alert fatigue. The implementation of unified anomaly scores and streamlined alerting processes enables teams to swiftly recognize and resolve potential issues, ultimately enhancing the reliability of their systems. By adopting this advanced anomaly detection service, organizations can ensure more proactive and efficient management of their data-driven operations.

KDB.AI functions as a powerful, knowledge-focused vector database and search engine, empowering developers to build applications that are scalable, reliable, and capable of real-time operations by providing advanced search, recommendation, and personalization functionalities designed specifically for AI requirements. As an innovative solution for data management, vector databases are especially advantageous for applications in generative AI, IoT, and time-series analysis, underscoring their importance, unique attributes, operational processes, and new use cases, while also offering insights on how to effectively implement them. Moreover, grasping these aspects is essential for organizations aiming to fully leverage contemporary data solutions and drive innovation within their operations.

Altair Panopticon Streaming Analytics empowers both engineers and business professionals to build, adjust, and implement sophisticated event processing and data visualization applications using an intuitive drag-and-drop interface. Users have the ability to connect to various data sources, such as streaming feeds and time-series databases, enabling them to create dynamic stream processing applications. Additionally, they can craft visual user interfaces that provide critical insights, allowing for well-informed decisions based on vast quantities of swiftly evolving data. This flexibility in design enhances the overall capability to respond to real-time information effectively.

Our Environmental Management system is ideally tailored for Ministries that prioritize Agriculture, Natural Resources, and the Environment. It proficiently manages Geospatial Information, time-series datasets, licenses, permits, and applications, while safeguarding the quality integrity of data related to water, land, and air resources. The EDAMS Government Environmental Management system is particularly advantageous for these sectors due to its ability to streamline critical data management processes. By promoting integration across different levels—such as databases, business processes, and transactions—it effectively mitigates data duplication and enhances demand management strategies. Moreover, EDAMS products come equipped with an integrated GIS and allow for easy access to ESRI ArcGIS, Quantum GIS (QGIS), and SuperMap GIS. The modular structure of the EDAMS system further enables scalable implementation, adapting seamlessly to the growing and changing needs of the organization. This adaptability not only ensures that the system can evolve with organizational demands but also reinforces its capacity to deliver consistent efficiency and effectiveness over time. Ultimately, the EDAMS system stands out as a comprehensive solution for sustainable environmental management.

Our Bulletin 9309 Emonitor® software for condition monitoring works in conjunction with our monitoring devices and portable data collectors to support the establishment and ongoing management of a predictive maintenance program based on real-time conditions. This software boasts a comprehensive suite of tools for long-term data analysis, visual plotting, and alerting functions, which are essential for early identification of potential mechanical problems. Users can also automate the gathering of data from various 1444 series or 1440 series monitors and machinery with remarkable efficiency. In addition, it is designed to be compatible with both the Dynamix 2500 and Enpac 2500 Data Collectors, further enhancing its functionality. The software supports smooth data transfer with any OPC server, equipped with vital tools for recognizing alarming situations and specific fault frequencies. Offering fully customizable and pre-set plot views allows users to adjust their interface according to individual preferences. Moreover, compiling reports is a simple process, facilitating easier data analysis for users. Delve into the Emonitor interface to uncover the myriad capabilities this software provides, ensuring users are well-equipped with the knowledge necessary for efficient maintenance approaches. With its user-friendly design and powerful features, the Emonitor® software stands out as a vital tool for modern maintenance practices.

PipelineDB acts as an enhancement to PostgreSQL, enabling the effective aggregation of time-series data specifically designed for real-time analytics and reporting needs. It allows users to create continuous SQL queries that consistently compile time-series data while only saving the summarized results in conventional, searchable tables. This method resembles extremely efficient, self-updating materialized views that do not require manual intervention for refreshing. Importantly, PipelineDB does not write raw time-series data to disk, which significantly boosts the performance of aggregation operations. The continuous queries produce their own output streams, facilitating the easy integration of various continuous SQL processes into intricate networks. This capability guarantees that users can develop sophisticated analytics solutions that adapt in real time to incoming data, making it a powerful tool for data-driven decision-making. Moreover, the ability to link multiple data streams enhances the potential for comprehensive insights from diverse datasets.

The ITTIA DB suite unites sophisticated functionalities for time series analysis, real-time data streaming, and analytics specifically designed for embedded systems, thus simplifying development workflows while reducing costs. With ITTIA DB IoT, users benefit from a lightweight embedded database tailored for real-time tasks on constrained 32-bit microcontrollers (MCUs), whereas ITTIA DB SQL provides a powerful time-series embedded database that performs well on both single and multicore microprocessors (MPUs). These ITTIA DB solutions enable devices to efficiently monitor, process, and store real-time data. Furthermore, the products are meticulously crafted to cater to the requirements of Electronic Control Units (ECUs) in the automotive industry. To protect data integrity, ITTIA DB features robust security measures against unauthorized access, which include encryption, authentication, and the DB SEAL capability. In addition, ITTIA SDL complies with the IEC/ISO 62443 standards, underscoring its dedication to safety. By implementing ITTIA DB, developers are equipped to effortlessly gather, process, and refine incoming real-time data streams using a specialized Software Development Kit (SDK) designed for edge devices, enabling effective searching, filtering, joining, and aggregating of data directly at the edge. This all-encompassing strategy not only boosts performance but also addresses the increasing necessity for real-time data management in contemporary technological environments, ultimately benefiting a wide range of applications across various sectors.

Chameleon-i is recognized as an exceptionally versatile recruitment database solution in the market today. Our platform includes all the essential tools required to oversee temporary, contract, and permanent recruitment processes across a wide range of sectors. No matter the scale of your organization, we provide a fast and secure permanent recruitment solution that offers you a competitive advantage over other systems. There are no initial setup fees or cumbersome contracts, enabling your recruitment business to get started without delay. Our online support guarantees a smooth experience, simplifying the entire process. With no upfront costs and no long-term commitments, Chameleon-i's Permanent recruitment software is specifically designed to fulfill all your recruitment needs. Furthermore, our dedicated in-house support team will not only walk you through an extensive demonstration of the system but will also continue to assist you, ensuring you operate seamlessly from the very first day. This unwavering dedication to support further underscores our mission to enhance your recruitment operations with efficiency and effectiveness while fostering long-term partnerships with our clients.

SurrealDB offers a dynamic and adaptable platform specifically designed for businesses seeking innovative solutions. It comes equipped with a wide range of advanced database tools and services that help teams discover creative approaches tailored to their unique requirements. The query language of SurrealDB, reminiscent of standard SQL, excels in managing both time-series data and complex interconnected graph structures. SurrealQL, an advanced query language, integrates features typical of programming languages, enabling developers and data analysts to interact with SurrealDB in a way that aligns with their individual workflows. Users can easily connect to SurrealDB from any client device, allowing them to run SurrealQL queries directly within web browsers, ensuring that data access is both secure and permission-based. The platform is designed with efficient WebSocket connections that support smooth bi-directional communication for queries, responses, and real-time alerts, significantly improving the user experience. This continuous connectivity and responsiveness distinguish SurrealDB in the competitive landscape of database solutions, making it an appealing choice for modern enterprises. Additionally, its user-friendly interface and robust functionality invite users to explore and harness the full potential of their data in innovative ways.

Managing document storage can present a number of challenges. It's essential to not only protect documents but also to enable the appropriate users to access them swiftly. These complexities are compounded by the increasing influx of critical business emails, which can lead to vital information becoming lost or improperly managed within individual users' inboxes. Invu Document Management software addresses these issues by offering indexing and storage capabilities for a wide variety of document types, all while being customizable, compliant, and fully searchable by text. This software serves as an excellent solution for handling the substantial volume of documentation within your organization, while also minimizing reliance on paper records. Additionally, Invu Document Management provides a versatile approach that seamlessly integrates with your current Microsoft applications and other business software. Through Microsoft Office, users can easily import documents electronically and quickly scan emails with attachments or physical documents, enhancing overall efficiency. Moreover, this integration streamlines workflows, ensuring that document management becomes more intuitive and effective for all users involved.

Strengthen your organization's security framework by gaining real-time insights into service accounts while protecting access to essential resources. Developed by experts in the cybersecurity field, the Anetac identity and security platform guards against risks associated with service account vulnerabilities. By revolutionizing the cybersecurity landscape, it offers ongoing visibility into service accounts, addressing blind spots and adapting to the shifting demands of organizations, in contrast to conventional static solutions. This cutting-edge platform is aimed at overcoming challenges faced across multiple industries, particularly those involving insufficiently monitored or entirely neglected service accounts, APIs, tokens, and access keys. Its ability to provide real-time streaming visibility of non-human and shared multi-use service accounts effectively bridges security gaps and improves overall security practices. Additionally, the system includes access chain mapping, which elucidates complex relationships among service accounts, crucial resources, business applications, and operational workflows. It also features automated, classification-driven AI behavior analysis combined with time-series data, further enhancing security protocols. As a result, organizations can adopt a holistic strategy for managing and securing service accounts, emphasizing proactive threat detection and prompt response, which is essential in today’s dynamic threat landscape. By embracing this innovative approach, businesses can better prepare for and mitigate potential security breaches.

Blueflood is a highly efficient distributed metric processing system tailored for rapid throughput and minimal latency, serving as a fundamental element for Rackspace Metrics and currently employed by the Rackspace Monitoring and public cloud teams to oversee the metrics generated by their infrastructures. In addition to its internal applications, Blueflood has been successfully adopted in numerous large-scale implementations, details of which can be found on the community Wiki. The system excels in processing data that is perfect for developing dashboards, crafting reports, and generating graphs, as well as any other applications that necessitate the analysis of time-series data. It highlights the significance of near real-time data accessibility, permitting metrics to be queried mere milliseconds after ingestion. Users can transmit metrics to the ingestion service and retrieve them via the Query service, while the system adeptly manages offline batch processing of rollups in the background, guaranteeing prompt query responses across extensive time spans. Furthermore, this blend of functionalities positions Blueflood as an adaptable and powerful tool for effectively managing and analyzing metric data in various contexts. The system's architecture also allows for scalability, making it suitable for evolving data needs over time.

The adaptable modular framework we provide allows for customization of your infrastructure to align with the unique requirements of your workload, promoting operational efficiency and a reliable total cost of ownership. As data continues to expand at extraordinary rates, the necessity for rapid and economical storage expansion has become a fundamental requirement. Whether you choose traditional hard drives, SSDs, NVMe, or a combination of these, the Cisco UCS S-Series empowers you to scale your storage capability to petabytes in mere minutes. In light of new applications pushing performance limits by relocating data nearer to computing resources, employing a dual server node configuration with 2nd Gen Intel® Xeon® Scalable processors offers an optimal blend of processing power and storage capabilities. Making thoughtful investments in technology can provide considerable long-term benefits, thereby improving your organization's agility and responsiveness. The Cisco UCS S-Series ensures maximum investment protection through a multi-generational system architecture that allows for flexibility in meeting your current needs while also preparing for future expansion. With the technology landscape evolving at breakneck speed, selecting the appropriate technology is vital for sustaining a competitive advantage. This choice will ultimately influence not just operational efficiency, but also your ability to adapt to changing market conditions.

Amazon FSx for Lustre is a fully managed service designed to provide high-performance and scalable storage specifically for compute-intensive workloads. Built on the open-source Lustre file system, it delivers sub-millisecond latency and can achieve throughput levels reaching hundreds of gigabytes per second, while also accommodating millions of input/output operations per second—making it an ideal choice for a variety of applications, such as machine learning, high-performance computing, video processing, and financial analysis. Moreover, FSx for Lustre integrates smoothly with Amazon S3, enabling users to link file systems directly to S3 buckets. This integration allows for simple access and processing of S3 data through a high-performance file system, ensuring effective data import and export between FSx for Lustre and S3. The service supports different deployment strategies, including temporary scratch file systems for short-lived data and persistent file systems for long-term storage needs, in addition to providing options for SSD and HDD storage types. This flexibility allows users to customize their storage solutions to meet specific performance and cost requirements based on their workloads. Overall, Amazon FSx for Lustre is distinguished as a powerful and adaptable solution for those seeking reliable storage to support demanding applications, while also catering to a wide range of business needs.

A Time Series Database (TSDB) is designed to enable swift data reading and writing, effectively managing vast datasets with ease. It boasts remarkable compression ratios that significantly reduce storage costs. Furthermore, this service offers functionalities for visualizing precision reduction, conducting interpolation, and carrying out multi-metric aggregate computations in conjunction with query results. By minimizing storage expenses, the TSDB accelerates the processes of data writing, querying, and analysis. Consequently, it is adept at handling substantial amounts of data points, facilitating more frequent data acquisition. The adaptability of this system allows it to be utilized across various fields, such as IoT monitoring, enterprise energy management systems (EMSs), production security oversight, and power supply tracking. In addition, it enhances database architectures and algorithms, allowing for the reading and writing of millions of data points within mere seconds. Its implementation of a highly efficient compression algorithm reduces the size of each data point to just 2 bytes, achieving over 90% savings in storage costs. Thus, it serves as an essential resource for data-driven decision-making, operational efficiency, and advancing analytical capabilities in numerous applications. Ultimately, the integration of a TSDB can lead to improved performance and reliability in data handling across diverse industries.

Introducing a powerful cross-platform columnar database tailored for high-performance historical time-series data, featuring: - An optimized compute engine for in-memory operations - A real-time streaming processor - A robust query and programming language called q Kdb+ powers the kdb Insights suite and KDB.AI, delivering cutting-edge, time-oriented data analysis and generative AI capabilities to leading global enterprises. Known for its unmatched speed, kdb+ has been independently validated as the top in-memory columnar analytics database, offering significant advantages for organizations facing intricate data issues. This groundbreaking solution greatly improves decision-making processes, allowing businesses to effectively adapt to the constantly changing data environment. By utilizing kdb+, organizations can unlock profound insights that inform and enhance their strategic approaches. Additionally, companies leveraging this technology can stay ahead of competitors by ensuring timely and data-driven decisions.