SQLstream Incorporated provides a cloud-based data stream processing platform for real-time operational intelligence with data-driven automation. It offers SQLstream Blaze, a stream processing suite for real-time operational intelligence from the integration, analysis, and visualization of high volume and high velocity machine data; StreamLab, a graphical platform for the discovery, formatting, and visualization of data streams; and SQL for Apache Storm, which enables distributed stream processing implementations using Apache Storm to benefit from real-time analytics of machine data using continuous SQL queries. The company also provides a set of APIs, adapters, and drivers for machine data ...
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SQLstream Launches Stream Processor for Apache Storm
Feb 12 14
SQLstream announced the availability of its Stream Processor for Apache Storm, the open source distributed stream computing framework. The release enables the real-time analysis of machine data in Storm using continuous SQL queries. Organizations benefit from the improved performance, operational flexibility and reduced management costs of using standards-compliant SQL for the real-time analysis and integration of streaming data. Storm is a distributed stream-processing framework available under the Apache Open Source license. The primary focus of the Storm project is its distributed infrastructure, rather than the real-time analytics or connectors for machine data sources and enterprise storage platforms. That is where SQLstream comes in. SQLstream's Stream Processor for Storm enables Storm implementations to utilize continuous SQL queries for streaming analytics. SQLstream's Stream Processor for Storm enables SQLstream s-Server continuous SQL queries to be deployed as Storm Bolts (stream processing nodes) in a distributed Storm system. SQLstream's s-Server stream processor can also be deployed as Storm Spouts (machine data sources), utilizing SQLstream's agents and adapters for real-time machine data collection and integration.
SQLstream Unveils New Release of Big Data Stream Processor
Feb 12 14
SQLstream Inc. announced the availability of SQLstream 4.0, the new generation of its flagship Big Data stream processing product suite. SQLstream 4.0 includes the latest s-Server Stream Processor, the fastest and most scalable release of the company's renowned product, introduces new tools for real-time visualization of high velocity data streams, StreamApps toolkits for rapid implementation of operational intelligence solutions, and support for the Apache Storm project, the open source distributed stream computing framework. SQLstream's s-Server 4.0 Stream Processor sets the industry standard for streaming data throughput performance. SQLstream s-Server 4.0 has been benchmarked at 500,000 records per second per core, representing the lowest total cost of performance for the million records-per-second requirements of today's cybersecurity, telecommunications, and Internet of Things applications. Real-time dashboards: SQLstream 4.0 introduces s-Visualizer, a visualization platform for enterprise power users who wish to build drag-and-drop, real-time dashboards over streaming analytics. s-Visualizer accepts high volume push-based streams and updates continuously without having to store data and refresh. Stream Processor for Storm: A new SQLstream Stream Processor for Storm enables continuous SQL queries to be deployed seamlessly as Storm processing nodes (known as Bolts) in Storm topologies. For organizations considering Storm implementations, SQLstream's Stream Processor for Storm offers a significant reduction in hardware costs, improved platform manageability, and with real-time analytics in streaming SQL, a dramatic reduction in time to value. Accelerator kits for Operational Intelligence applications: SQLstream StreamApps are quick-start kits for real-time operational intelligence applications, enabling organizations to deploy real-time solutions quickly and easily. Each StreamApp contains a set of standard components for machine data collection, streaming analytics and real-time dashboards. StreamApps launched with the release of SQLstream 4.0 include the StreamApp for telecommunications CDR/IPDR analytics with further StreamApps scheduled for release throughout 2014.