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Apache Beam

Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud Dataflow, and Hazelcast Jet.

Status

Post-commit tests status (on master branch)

Lang | SDK | Dataflow | Flink | Samza | Spark | Twister2 --- | --- | --- | --- | --- | --- | --- Go | | --- | | | | --- Java | | <br><br> | <br><br><br> | <br> | <br><br> | Python | <br><br> | <br><br> | <br> | | | --- XLang | | | | | | | ---

Overview

Beam provides a general approach to expressing embarrassingly parallel data processing pipelines and supports three categories of users, each of which have relatively disparate backgrounds and needs.

1. End Users: Writing pipelines with an existing SDK, running it on an existing runner. These users want to focus on writing their application logic and have everything else just w