Apache Beam
A unified programming model for defining and executing batch and streaming data processing
Apache Beam is an open-source, unified programming model for defining and executing batch and streaming data processing pipelines. It addresses the challenge of expressing data processing logic once and running it across different execution environments, from on-premises systems to cloud services, without being tied to a specific engine or vendor.
Beam provides language-specific SDKs for Java, Python, Go, SQL, TypeScript, and Scala (via Scio), with multi-language capabilities that let transforms written in different languages be combined in a single pipeline. Pipelines can run on multiple runners, including Apache Flink, Apache Spark, Google Cloud Dataflow, and AWS Kinesis Data Analytics. The model includes built-in and pluggable I/O transforms for reading from diverse sources and writing to common data sinks, and projects such as TensorFlow Extended and Apache Hop are built on top of Beam. An interactive Beam Playground environment is available for trying transforms and examples without local installation.
Apache Beam is intended for data and application teams building large-scale data processing, ingestion, and integration workflows, including batch, streaming, and machine learning use cases. It is an open-source project developed by the Apache Software Foundation, with no paid editions, trials, or seat-based licensing described.
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