Apache Beam
Apache Beam: Open Source Unified Model for Batch & Streaming Pipelines
Apache Beam is an open source, unified model for defining both batch and streaming data processing pipelines. It provides a simple, Java/Python SDK for building pipelines that can run on multiple execution engines like Apache Spark and Google Cloud Dataflow.
What is Apache Beam?
Apache Beam is an open source, unified programming model that defines pipelines for batch and streaming data processing. Beam provides a simple, Java/Python SDK for building pipelines that can run on multiple execution engines.
Key aspects of Apache Beam include:
- Portability - Beam abstractions allow pipelines to be executed across different runners like Apache Spark, Google Cloud Dataflow, Apache Flink and more.
- Flexibility - Beam model supports both batch and streaming data processing pipelines.
- Extensibility - Beam SDKs allow easy integration with external IOs, DSLs, and libraries.
With Apache Beam, developers can build data processing pipelines that can scale to process any volume of data. The unified APIs allow reusing code across small test cases to very large production pipelines. Beam runners manage pipeline execution, distribution and fault tolerance for the underlying systems.
Apache Beam Features
Features
- Unified batch and streaming programming model
- Portable across execution engines
- SDKs for Java and Python
- Stateful processing
- Windowing
- Event time and watermarks
- Side inputs
Pricing
- Open Source
Pros
Cons
Official Links
Reviews & Ratings
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