From streaming data to running apps in minutes
Real-time stream analytics, easy to use.
SQLstream Blaze brings SQL-compliant stream analytics, data wrangling, and automated actions in one easy-to-use platform for developers and analysts alike. In 2016, SQLstream Blaze became a top technology in Forrester's leader circle for Streaming Analytics.
A full-service distributed data management system.
SQLstream Blaze replaces the save-first strategy employed by traditional Big Data technologies with a query-then-store model that allows you to optimize your operations on-the-go, avert disasters before they happen, and make the right business decision at the right time.
Our stream analytics solution processes and analyzes all your raw streaming data continuously as it's produced, simultaneously enriching it with historical data for a complete, accurate, and relevant business context.
Our customers use SQLstream Blaze to improve customer experience, automate services, secure systems, advance operational efficiency, and even save lives.
"No other vendor enabled us to deliver both performance and analysis we needed for our applications that literally help us save lives."
"They met our requirements entirely and they provided the only 100% ISO ANSI/SQL standards-based streaming platform. That enabled us massive scalability, a very fast deployment and a highly competitive TCO."
Our Q2 series concludes with a Eurotransport Magazine talk on how transportation operators can use using stream analytics in sensor networks. Thursday, June 29th, at 7:00AM PST.register to join
After the news that Amazon Kinesis Analytics is based in part on certain technology components licensed from SQLstream, our product suite is now available on AWS Marketplace.read more
We're just back from MongoDB World '17 in Chicago, where our team demo'd bringing SQL-powered Stream Analytics to NoSQL environments.I want a demo