Apache Flink® - Stateful Computations over Data Streams



All streaming use cases
  • Event-driven Applications
  • Stream & Batch Analytics
  • Data Pipelines & ETL
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Guaranteed correctness
  • Exactly-once state consistency
  • Event-time processing
  • Sophisticated late data handling
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Layered APIs
  • SQL on Stream & Batch Data
  • DataStream API & DataSet API
  • ProcessFunction (Time & State)
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Operational Focus
  • Flexible deployment
  • High-availability setup
  • Savepoints
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Scales to any use case
  • Scale-out architecture
  • Support for very large state
  • Incremental checkpointing
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Excellent Performance
  • Low latency
  • High throughput
  • In-Memory computing
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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.

Apache Flink 1.5.1 Released

The Apache Flink community released the first bugfix version of the Apache Flink 1.5 series.

Apache Flink 1.5.0 Release Announcement

The Apache Flink community is thrilled to announce the 1.5.0 release. Over the past 5 months, the Flink community has been working hard to resolve more than 780 issues. Please check the complete changelog for more detail.

Apache Flink 1.3.3 Released

The Apache Flink community released the third bugfix version of the Apache Flink 1.3 series.