| Overview | Quick Start | Concepts | Syntax Reference | Demo | Examples | FAQ | Roadmap |
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Important: This release is a developer preview and is free and open-source from Confluent under the Apache 2.0 license. Do not run KSQL against a production cluster.
KSQL is an open source streaming SQL engine that implements continuous, interactive queries against Apache Kafka™. It allows you to query, read, write, and process data in Apache Kafka in real-time, at scale using SQL commands. KSQL interacts directly with the Kafka Streams API, removing the requirement of building a Java app.
Common KSQL use cases are:
- Fraud detection - identify and act on out of the ordinary data to provide real-time awareness.
- Personalization - create real-time experiences and insight for end users driven by data.
- Notifications - build custom alerts and messages based on real-time data.
- Real-time Analytics - power real-time dashboards to understand what’s happening as it does.
- Sensor data and IoT - understand and deliver sensor data how and where it needs to be.
- Customer 360 - provide a clear, real-time understanding of your customers across every interaction.
KSQL lowers the barriers for using real-time data in your applications. It is powered by a scalable streaming platform without the learning curve or additional management complexity of other stream processing solutions.
You can use KSQL in standalone, client-server, application, and embedded modes. See Concepts for more information.
- Beginners: Try the interactive quick start. The quick start configures a single instance in a lightweight Docker container or in a Kafka cluster. It demonstrates a simple workflow using KSQL to write streaming queries against data in Kafka.
- Advanced users: Try the end-to-end Clickstream Analysis demo.