KafkaksqlDB là engine SQL-based stream processing chạy trên Kafka, cho phép query và transform Kafka topics bằng SQL syntax — không cần viết Java/Scala. Phù hợp cho data engineers và analysts cần real-time analytics nhanh. Kafka Streams là thư viện Java — cần viết code, compile, deploy như một microservice — linh hoạt hơn, production-grade hơn cho complex logic. So sánh:
- ksqlDB: CREATE STREAM orders_by_user AS SELECT user_id, COUNT(*) FROM orders GROUP BY user_id EMIT CHANGES; — zero-code deployment
- Kafka Streams: code Java với KStream/KTable API, test với TopologyTestDriver
KsqlDB chạy trên ksqlDB Server cluster riêng (không phải Kafka broker). Pull queries (point-in-time query from materialized view) và Push queries (continuous streaming). Use case: real-time dashboard, filtering, joining streams cho business analytics. Kafka Streams tốt hơn cho: complex stateful logic, unit testing, CI/CD pipeline, embedding trong microservice.
ksqlDB is a SQL-based stream-processing engine that runs on top of Kafka, allowing you to query and transform Kafka topics using SQL syntax — no Java or Scala code required. It is ideal for data engineers and analysts who need fast real-time analytics. Kafka Streams is a Java library — you write code, compile it, and deploy it like a microservice — more flexible and production-grade for complex logic. Comparison:
- ksqlDB: CREATE STREAM orders_by_user AS SELECT user_id, COUNT(*) FROM orders GROUP BY user_id EMIT CHANGES; — zero-code deployment
- Kafka Streams: Java code using the KStream/KTable API, tested with TopologyTestDriver
KsqlDB runs on a dedicated ksqlDB Server cluster (not on Kafka brokers). Supports pull queries (point-in-time query from a materialized view) and push queries (continuous streaming). Use cases: real-time dashboards, filtering, and stream joins for business analytics. Kafka Streams is preferable for: complex stateful logic, unit testing, CI/CD pipelines, and embedding within a microservice.