real-time data processing for kafka

...then, Kafka met Blaze.

If you need to sieve your streams before they hit the lake, Blaze adds real-time data processing capabilities to systems already using Kafka. Ask us about our streaming analytics functions, for example, and we'll show you why Blaze was licensed by AWS for Amazon Kinesis Analytics in 2016.

Kafka + Blaze

A full-service distributed data management system.

Kafka Blaze Big Data

One system to rule them all

Our data processing platform creates real-time contextual insights to apps by incrementally analyzing infinite streams of Fast+Big Data, continuously and in real time. When added to existing Kafka implementations, the result is a complete, high-performance, resilient, fault-tolerant architecture that can seamlessly integrate with other enterprise systems and process millions of records per second per core.

Latest and greatest


Thursday demos

Our Q1 series concludes with a Kafka-focused webinar scheduled for Thursday, March 30th, at 10:10AM PST.

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AWS presents...

After being licensed by AWS for Amazon Kinesis Analytics, Blaze is now available (and in good company) on AWS Marketplace.

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It's a wrap

If you'll didn't make it to Strata+Hadoop World in San Jose, here's a short writeup on a few trends we spotted.

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Continuous, real-time advantage

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