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”.

Kafka + SQLstream Blaze

A full-service distributed data management system.


Latest updates

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".

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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.

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SQLstream makes “streaming easy and blazing fast” in Forrester report evaluating 13 of the most significant vendors for streaming analytics.

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Our product

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.

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January 16 2018

Primex Boosts IoT Profits in the Cloud with Streaming Analytics

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November 14 2017

8 Ways SQLstream Rocks Machine Learning

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October 17 2017

Thumbs Up to “6 Key Requirements for IoT Success” by DataWatch

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September 8 2017

Industry Analyst Firm Names SQLstream a Strong Performer in Streaming Analytics Report

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Our customers

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."

— ECaTS, Chris Duxler, VP Data Architecture

"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."

— Christian Lees, CTO, Infoarmor