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Kafka Streams vs KSQL: What are the differences?
Kafka Streams: A client library for building applications and microservices. It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology; KSQL: Open Source Streaming SQL for Apache Kafka. KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.
Kafka Streams and KSQL can be categorized as "Stream Processing" tools.
KSQL is an open source tool with 2.37K GitHub stars and 493 GitHub forks. Here's a link to KSQL's open source repository on GitHub.
Pros of Kafka Streams
Pros of KSQL
- Streamprocessing on Kafka3
- SQL syntax with windowing functions over streams2
- Easy transistion for SQL Devs0