SQLstream, provider of the real-time data hub for enterprise grade stream processing, today announced the availability of StreamLab 1.1, the next release of the world’s only intelligent guided discovery, streaming analytics and real-time visualization platform. Enterprises using StreamLab are building and deploying massively scalable real-time dashboards from their log and sensor machine data in minutes. The latest release brings faster UI performance, an improved user experience and enhanced visualization capabilities for streaming log and sensor data analytics.
Play demo video: From GPS log data to live vehicle tracking in minutes.
StreamLab is a graphical platform for the intelligent guided discovery, analysis and visualization of log and sensor machine data streams. Users connect to their machine data sources using wizards, and then structure and analyze the streaming data in real-time using interactive graphical tools that offer intelligent suggestions with automated rules. Streaming analytics are connected to real-time dashboards by a simple click. Operational intelligence applications can be built in minutes by analyzing the log data at source, and without having to write SQL or Java analytics, build integration adapters, or even code custom dashboards. StreamLab does it all automatically. StreamLab is built on the award-winning distributed SQL stream processing engine, s-Server, ensuring Big Data scalability, distributed systems operation, platform stability and system reliability.
“StreamLab is a game-changer in the world of machine data analytics and stream processing,” said Edan Kabatchnik, SQLstream’s SVP Products & Engineering. “StreamLab enables enterprises to reduce the cost and complexity of real-time Big Data applications, and deliver operational intelligence applications in minutes.”
New StreamLab features in this release:
- Instantaneous UI responsiveness through optimization of the auto-generated SQL query
handling and execution.
- New log file connection wizard with data visualization for verification of successful connections.
- Support for additional machine data sources such as web feeds.
- New dashboard widgets and pan/zoom map displays.
- New and improved rules for automatic identification of log data attributes such as timestamps.
Download SQLstream Blaze with StreamLab for Free
SQLstream solves real-time enterprise problems with unrivaled expertise, experience and success. Our SQLstream Blaze Stream Processor is a massively scalable, real-time data hub for operational intelligence and Internet of Things applications that is built on our award-winning stream processing platform. Enterprises using Blaze act immediately on actionable insights extracted from their machine data in motion through real-time alerts and automated actions. Blaze eliminates the complexity, time and cost of real-time performance, and enables enterprises to deliver a better customer experience, increase revenue, improve operational efficiency and eliminate fraud. SQLstream is the recipient of leading industry awards, including the Ventana Research Technology Innovation Award for IT Analytics and Performance. SQLstream is based in San Francisco, California. For more information, visit www.sqlstream.com, follow us on Twitter, or visit sqlstream.com/stream-processing for a full tutorial on stream processing with SQL.
Ronnie Beggs, VP Marketing
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- Website: www.sqlstream.com