From streaming data to running apps in minutes
Stream analytics, easy to use.
SQLstream Blaze brings SQL-compliant stream analytics, data wrangling, and automated actions in one real-time, 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.
PRODUCT | SQLstream Blaze achieves record performance of 1.8M records/second/serverRead More
IN THE NEWS: The future of Fast and Big Data TechnologiesRead More
Kontron and SQLstream introduce joint ITS solution in 6.29 webinar for transportation operatorsRead More
The Real-Time Future of ETLRead More
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 Q3 series continues with a talk on building live apps in minutes hosted by Bloor V.I.P. Eric Kavanagh. Thursday, 7.27, 10AM 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
On 6/29 we presented at Sensors Expo to discuss the difficult relationship between (Stream) Analytics, Cloud, and Storage.curious how it works?