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Alternatives to Consider
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TRACTIANTractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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3Q3Q is the European digital infrastructure for enterprise video: live streaming, video-on-demand, webcasting, and the infrastructure behind OTT and FAST channels, run independently of US hyperscalers. For organisations where data sovereignty is a compliance requirement rather than a preference, 3Q answers the audit question first. The video platform runs on 3Q's own independent European video infrastructure, GDPR-compliant and processes are ISO/IEC 27001 certified. Corporate Communications: You broadcast town halls, Shareholders' Meetings, and press conferences as webcasts to a few or tens of thousands of viewers, with no limit on data volume. Every broadcast records automatically with Live2VOD and stays available on demand. Marketing and Knowledge: You publish video-on-demand to customers and partners and build a secure internal library for training and onboarding. Video AI adds automatic subtitles, transcriptions, and translations, which opens international audiences without manual work. Player and Reach: The cookie-free and consent-free HTML5 video player needs no consent banner, is accessible in accordance with WCAG 2.1/BITV 2.0, and carries your branding. The 3Q Content Delivery Network with multi-CDN delivers worldwide, including a China setup with ICP filing. Measurement: 3Q Analytics provides several metrics such as data on reach, playback time, and engagement for each asset. This data can be filtered and exported so you can demonstrate your results. 3Q is the right choice when compliance has to be demonstrable rather than assumed, and when a team needs a turnkey video platform instead of building and staffing one. Costs stay predictable: modular pay-as-you-go with no base fee and no forced bundles. Headquartered in Munich, 3Q offers single sign-on, a REST video API that fits your existing workflows, and 24/7 support from real video experts.
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Google Cloud PlatformGoogle Cloud serves as an online platform where users can develop anything from basic websites to intricate business applications, catering to organizations of all sizes. New users are welcomed with a generous offer of $300 in credits, enabling them to experiment, deploy, and manage their workloads effectively, while also gaining access to over 25 products at no cost. Leveraging Google's foundational data analytics and machine learning capabilities, this service is accessible to all types of enterprises and emphasizes security and comprehensive features. By harnessing big data, businesses can enhance their products and accelerate their decision-making processes. The platform supports a seamless transition from initial prototypes to fully operational products, even scaling to accommodate global demands without concerns about reliability, capacity, or performance issues. With virtual machines that boast a strong performance-to-cost ratio and a fully-managed application development environment, users can also take advantage of high-performance, scalable, and resilient storage and database solutions. Furthermore, Google's private fiber network provides cutting-edge software-defined networking options, along with fully managed data warehousing, data exploration tools, and support for Hadoop/Spark as well as messaging services, making it an all-encompassing solution for modern digital needs.
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Google Compute EngineGoogle's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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Kasm WorkspacesKasm Workspaces enables you to access your work environment seamlessly through your web browser, regardless of the device or location you are in. This innovative platform is transforming the delivery of digital workspaces for organizations by utilizing open-source, web-native container streaming technology, which allows for a contemporary approach to Desktop as a Service, application streaming, and secure browser isolation. Beyond just a service, Kasm functions as a versatile platform equipped with a powerful API that can be tailored to suit your specific requirements, accommodating any scale of operation. Workspaces can be implemented wherever necessary, whether on-premise—including in Air-Gapped Networks—within cloud environments (both public and private), or through a hybrid approach that combines elements of both. Additionally, Kasm's flexibility ensures that it can adapt to the evolving needs of modern businesses.
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QUODDFor over two decades, QUODD has led the charge in delivering innovative market data solutions, equipping the financial sector with the broadest range of integrated market data APIs accessible today. Our comprehensive data services are meticulously crafted to align with your business needs, spanning diverse market segments while ensuring cloud-based delivery that promises both dependability and scalability. Discover data customized for your requirements: Data Feeds — Access real-time, tick-by-tick streaming from global markets, optimized for the rapid pace of trading and analytics demands. APIs — Take advantage of modern, developer-friendly integration and authentication protocols tailored for fintech firms and financial organizations. Integrations — Attain effortless connectivity with downstream systems and enterprise workflows, featuring cloud-native delivery and scalable options on demand. By partnering with QUODD, you can harness the full potential of your financial operations, positioning yourself advantageously in an ever-evolving competitive environment. In doing so, you will be equipped to navigate market challenges with confidence and agility.
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CredentialStreamCredentialStream® utilizes innovative patented technology to facilitate the requesting, collection, and verification of provider information, ultimately creating a trustworthy Source of Truth for subsequent processes. Its cutting-edge platform is regularly enhanced and is supported by extensive content libraries and top-tier data sets, making CredentialStream the premier solution for managing the entire lifecycle of providers. Additionally, the seamless integration of these resources ensures that organizations can maintain compliance and efficiency in their operations.
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Hotspot ShieldProtect your personal data with advanced military-grade encryption while enjoying seamless access to websites and streaming platforms worldwide. Hotspot Shield guarantees that your connection is secured through its strict no-logs policy, shielding your identity and confidential information from hackers and cyber threats. With an extensive network of servers spanning over 80 countries and more than 35 cities, our innovative Hydra protocol elevates your VPN experience, offering fast and secure connections perfect for gaming, streaming, downloading, P2P sharing, and more. Relish in the reassurance that your online activities remain protected and private, enabling you to browse freely without fear. Seize control of your online presence and enhance your security today!
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DragonflyDragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.
What is SAS Analytics for IoT?
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.
What is Pratexo?
Pratexo dramatically accelerates the processes of developing, assessing, and deploying the distributed systems that are crucial for sophisticated applications in fields such as artificial intelligence, the Internet of Things, and Industry 4.0. By leveraging well-established and open technologies, Pratexo provides a secure and resilient platform that is customized to meet the specific needs of your application. For these transformative applications to operate effectively, they must have the capability to detect, analyze, and respond to enormous volumes of data in real-time. This requirement leads to the necessity for a distributed cloud infrastructure that offers vital cloud services across multiple locations, particularly nearer to the edge. The task of designing and implementing such architectures and applications is not only complex but also introduces various challenges. Applications that initially demonstrate strong performance may encounter difficulties in sustaining efficiency when scaled and can struggle in real-world settings. Many proof-of-concept projects aimed at 'digital transformation' tend to either fail or take significantly longer to be market-ready than originally expected, highlighting the intricacies involved in this journey. Therefore, it becomes clear that a thoughtful and strategic approach is crucial to overcoming these obstacles and achieving successful outcomes in deployment. Additionally, addressing these challenges with innovative solutions can pave the way for more efficient and effective operational models in the future.
Integrations Supported
Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Integrations Supported
Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS Institute
Company Location
United States
Company Website
support.sas.com/en/software/analytics-for-iot-support.html
Company Facts
Organization Name
Pratexo
Date Founded
2019
Company Location
United States
Company Website
pratexo.com
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization