What is Flink used for?

Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams, designed to run in all common cluster environments. It is a good fit for event-driven applications that ingest events from event streams and react with computations, state updates, or external actions; stream and batch analytics for real-time continuous queries or traditional batch queries on bounded data; and data pipelines and ETL to convert and move data between storage systems.

Is Flink open source?

Yes. Flink is open source under the Apache-2.0 licence. Its source code is on GitHub at apache/flink and is written mainly in Java.

Yes. Flink is open source, so the software itself is free to use.

Can I self-host Flink?

Yes. Flink can be self-hosted on your own server or infrastructure.

What is Flink an alternative to?

Flink is an open-source alternative to Matillion, Talend, Tinybird and Confluent. Other open-source alternatives to Matillion include Apache Spark, Kafka and Airflow.

Is Flink actively maintained?

Yes. The most recent commit to Flink was on 13 October 2026. The project has 26k stars on GitHub.

Flink: open-source alternative to Matillion, Talend

About Flink

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.

Flink provides correctness guarantees including exactly-once state consistency, event-time processing, and sophisticated late data handling. It offers layered APIs such as SQL on stream and batch data, DataStream API, and ProcessFunction for time and state.

Key features

Exactly-once state consistency
Event-time processing
Sophisticated late data handling
Layered APIs including SQL, DataStream API, and ProcessFunction
Flexible deployment and high-availability setup
Scale-out architecture with support for very large state and incremental checkpoints

Good fit for

Event-driven applications that ingest events from event streams and react with computations, state updates, or external actions
Stream and batch analytics for real-time continuous queries or traditional batch queries on bounded data
Data pipelines and ETL to convert and move data between storage systems

Built with: Java tools; Python tools
Tags: stream-processing; batch-processing; distributed-computing; stateful-computations; etl; analytics

Flink: questions and answers

What is Flink used for?: Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams, designed to run in all common cluster environments. It is a good fit for event-driven applications that ingest events from event streams and react with computations, state updates, or external actions; stream and batch analytics for real-time continuous queries or traditional batch queries on bounded data; and data pipelines and ETL to convert and move data between storage systems.
Is Flink open source?: Yes. Flink is open source under the Apache-2.0 licence. Its source code is on GitHub at apache/flink and is written mainly in Java.
Is Flink free?: Yes. Flink is open source, so the software itself is free to use.
Can I self-host Flink?: Yes. Flink can be self-hosted on your own server or infrastructure.
What is Flink an alternative to?: Flink is an open-source alternative to Matillion, Talend, Tinybird and Confluent. Other open-source alternatives to Matillion include Apache Spark, Kafka and Airflow.
Is Flink actively maintained?: Yes. The most recent commit to Flink was on 13 October 2026. The project has 26k stars on GitHub.