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 1.14.4 Release Announcement
- The Apache Flink Community is please to announce another bug fix release for Flink 1.14.
- Scala Free in One Fifteen
- Apache Flink's runtime is now Scala free, allowing users to leverage any Scala version in their user code - including Scala 3!
- Apache Flink 1.13.6 Release Announcement
- The Apache Flink Community is please to announce another bug fix release for Flink 1.13.
- Stateful Functions 3.2.0 Release Announcement
Stateful Functions is a cross-platform stack for building Stateful Serverless applications, making it radically simpler to develop scalable, consistent, and elastic distributed applications. This new release brings various improvements to the StateFun runtime, a leaner way to specify StateFun module components, and a brand new JavaScript SDK!
- Pravega Flink Connector 101
- A brief introduction to the Pravega Flink Connector