Apache Flink® - Stateful Computations over Data Streams



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

State TTL in Flink 1.8.0: How to Automatically Cleanup Application State in Apache Flink
A common requirement for many stateful streaming applications is to automatically cleanup application state for effective management of your state size, or to control how long the application state can be accessed. State TTL enables application state cleanup and efficient state size management in Apache Flink
Flux capacitor, huh? Temporal Tables and Joins in Streaming SQL
Apache Flink natively supports temporal table joins since the 1.7 release for straightforward temporal data handling. In this blog post, we provide an overview of how this new concept can be leveraged for effective point-in-time analysis in streaming scenarios.
When Flink & Pulsar Come Together
Apache Flink and Apache Pulsar are distributed data processing systems. When combined, they offer elastic data processing at large scale. This post describes how Pulsar and Flink can work together to provide a seamless developer experience.
Apache Flink's Application to Season of Docs

The Apache Flink community is happy to announce its application to the first edition of Season of Docs by Google. The program is bringing together Open Source projects and technical writers to raise awareness for and improve documentation of Open Source projects. While the community is continuously looking for new contributors to collaborate on our documentation, we would like to take this chance to work with one or two technical writers to extend and restructure parts of our documentation (details below).

Apache Flink 1.8.0 Release Announcement

The Apache Flink community is pleased to announce Apache Flink 1.8.0. The latest release includes more than 420 resolved issues and some exciting additions to Flink that we describe in the following sections of this post. Please check the complete changelog for more details.