Real-time Kafka and Kinesis Analytics

SQLstream makes it painless for Kafka, Kinesis and other stream users to discover,
analyze and act on their data streams in real time.
SQLstream | Streaming SQL Analytics for Kafka & Kinesis

BLAZINGLY FAST, EASY-TO-USE, ANALYST-READY

“Over 35% of Fortune 500 are putting Kafka into production but 75% lack skills to build Kafka apps.”


100X FASTER

DEVELOPMENT

Accelerate productivity with Discovery, Continuous Data Wrangling, AI-powered suggestions that output optimized SQL for you.

FOR ANALYSTS & BUSINESS USERS 

Reuse SQL skills to explore streams and auto-generate or hand code directly in SQL and Java with the leader in SQL standards support.

RECORD PERFORMANCE & EFFICIENCY
Process Kafka and Kinesis streams at up to 1.8M messages/sec/core with sub-millisecond latency for real-time insight and action.


Analyze & trigger actions with continuous SQL queries

Connect to your streaming data sources and SQLstream Blaze introspects and discovers data format. Prep, join and enrich streams with external data sources, then analyze using SQL operators and machine learning. Results can trigger actions, populate dashboards and feed into systems of record.

Real-time, continuous Machine learning

Build predictive analytics using machine learning models to score new data against historical patterns and trends. Reduce risks, improve operations and/or increase revenue.


Prep Data
Clean, filter and enrich data to prepare streams for real-time scoring.

AI-based scoring

Score events using hosted machine learning models using continuous queries.

Classify & Act
Advanced analytics are used to classify events based on their scores to facilitate action.


 

SQLstream Blaze

Community Edition

SQLstream Blaze is available in a no-cost Community Edition with full functionality for processing up to 1GB of messages each day. Upgrade to Enterprise Edition when message volumes exceed Community limits.

DOWNLOAD COMMUNITY EDITION

 

Streaming analytics for everyone

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