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 2017, SQLstream Blaze became a Strong Performer in Forrester's Streaming Analytics report for making “streaming easy and blazing fast”.
A full-service distributed data management system.
Matt Aslett @ 451 Research writes an Impact Report on SQLstream and provides context to "operating in a market that is the focus of escalating interest".read more
The launch of SQLstream Blaze 5.2 at the Kafka Summit in San Francisco brought support for Apache SystemML, enabling Kafka users to add real-time declarative predictions with continuous machine learning.read more
SQLstream makes “streaming easy and blazing fast” in Forrester report evaluating 13 of the most significant vendors for streaming analytics.read more
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."