Apache Flink® - Stateful Computations over Data Streams
All streaming use cases
- Event-driven Applications
- Stream & Batch Analytics
- Data Pipelines & ETL
Guaranteed correctness
- Exactly-once state consistency
- Event-time processing
- Sophisticated late data handling
Layered APIs
- SQL on Stream & Batch Data
- DataStream API & DataSet API
- ProcessFunction (Time & State)
Operational Focus
- Flexible deployment
- High-availability setup
- Savepoints
Scales to any use case
- Scale-out architecture
- Support for very large state
- Incremental checkpointing
Excellent Performance
- Low latency
- High throughput
- In-Memory computing
- Apache Flink 1.6.1 Released
The Apache Flink community released the first bugfix version of the Apache Flink 1.6 series.
- Apache Flink 1.5.4 Released
The Apache Flink community released the fourth bugfix version of the Apache Flink 1.5 series.
- Apache Flink 1.5.3 Released
The Apache Flink community released the third bugfix version of the Apache Flink 1.5 series.
- Apache Flink 1.6.0 Release Announcement
The Apache Flink community is proud to announce the 1.6.0 release. Over the past 2 months, the Flink community has worked hard to resolve more than 360 issues. Please check the complete changelog for more details.
- Apache Flink 1.5.2 Released
The Apache Flink community released the second bugfix version of the Apache Flink 1.5 series.