About Kafka
Apache Kafka is a platform for distributed event streaming. Teams use it to move and process streams of events for data pipelines, streaming analytics, data integration and business-critical applications. The code lives in the Apache Software Foundation repository, is written mainly in Java with Scala for parts of the broker, and is released under the Apache-2.0 license.
Kafka is installed software that you run yourself. The project builds and tests against recent Java versions, supports Scala 2.13 only, and documents how to build a JAR and start a broker through its quickstart. The repository also contains client and streams modules, along with test tooling for unit and integration runs. Because Kafka is operated as infrastructure, adopters typically run clusters on their own servers or on Kubernetes, though managed services from other vendors exist.
Key features
- Distributed event streaming platform
- Durable publish and subscribe topics
- Client libraries and a streams module
- Suited to data pipelines and integration
- Runs on Java with Scala 2.13
- Quickstart for building and running a broker
Good fit for
- →Real-time data pipelines between services
- →Streaming analytics on event data
- →Decoupling microservices with an event backbone
- Built with
- Java
- Tags
- kafka
- event-streaming
- messaging
- data-pipelines
- java
- scala
- streaming
- apache
Kafka: questions and answers
- What is Kafka used for?
- Kafka is an open-source platform for distributed event streaming, used in data pipelines, streaming analytics and data integration. It is a good fit for real-time data pipelines between services, streaming analytics on event data and decoupling microservices with an event backbone.
- Is Kafka open source?
- Yes. Kafka is open source under the Apache-2.0 licence. Its source code is on GitHub at apache/kafka and is written mainly in Java.
- Is Kafka free?
- Yes. Kafka is open source, so the software itself is free to use.
- Can I self-host Kafka?
- Yes. Kafka can be self-hosted on your own server or infrastructure.
- What is Kafka an alternative to?
- Kafka is an open-source alternative to Striim, Confluent and Amazon Kinesis. Other open-source alternatives to Striim include RisingWave, Debezium and Duckle.
- Is Kafka actively maintained?
- Yes. The most recent commit to Kafka was on 2 October 2026. The project has 34k stars on GitHub.
Open-source alternatives to Kafka
See all
RisingWave
Data Pipelines & ETL
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event s
Apache-2.0vs Striim★ 9.4k
Debezium
Data Pipelines & ETL
Change data capture for a variety of databases. Please log issues at https://github.com/de
Apache-2.0vs Fivetran★ 13k
Duckle
Data Pipelines & ETL
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-
Apache-2.0vs SnapLogic★ 1.3k
Dozer
Data Pipelines & ETL
Dozer is a real-time data movement tool that leverages CDC from various sources and moves
AGPL-3.0vs Fivetran★ 1.6k
Apache Spark
Data Pipelines & ETL
Apache Spark - A unified analytics engine for large-scale data processing
Apache-2.0vs Databricks★ 44k
Airflow
Data Pipelines & ETL
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache-2.0vs Astronomer★ 47k
SaaS alternatives to Kafka
See all
Striim
Data Pipelines & ETL
Real-time data integration and streaming platform with change data capture
SaaS
Confluent
Data Pipelines & ETL
Managed Apache Kafka platform for streaming data in the cloud
SaaS
Amazon Kinesis
Data Pipelines & ETL
AWS services for collecting, processing and analyzing real-time streaming data
SaaS
Estuary
Data Pipelines & ETL
Real-time data pipeline platform that unifies CDC, streaming and batch ELT
SaaS
Google Cloud Dataflow
Data Pipelines & ETL
Managed stream and batch data processing service on Google Cloud based on Apache Beam
SaaS
Oracle GoldenGate
Data Pipelines & ETL
Real-time data replication and change data capture software from Oracle
SaaS

