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Apache Beam vs Apache Flink

Apache Beam

beam.apache.org

Apache Flink

flink.apache.org

Side by side

FigureApache BeamApache Flink
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WebYes—
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · Big Data Analytics Software9.1 (#1)8.0 (#14)
Spec score · Streaming Analytics Software9.0 (#1)8.0 (#7)
Spec score · Stream Processing Software9.0 (#2)8.1 (#8)
Use casesThe same Beam model supports both batch and streaming processing for production data workloads.Flink supports event-driven applications, stream and batch analytics, and data pipelines and ETL.
What it doesApache Beam is an open-source programming model for building batch and streaming data-processing pipelines.Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Plans

Apache Beam

  • Apache BeamFree
  • Apache Beam SDKFree

Apache Beam pricing →

Apache Flink

  • Apache FlinkFree

Apache Flink pricing →

In their own words

Apache Beam

Apache Beam is an open-source programming model for building data-processing pipelines across batch and streaming workloads. The same model can support both patterns in production, while runners provide different execution back ends, including Dataflow, Flink, Spark, and the Direct Runner. SDKs and quickstarts cover Java, Python, Go, and TypeScript. Pipeline building blocks include ParDo, GroupByKey, Flatten, and Combine, alongside windowing and triggering. Beam I/O connectors supply read and write transforms for external storage in batch or streaming pipelines, with catalog examples such as BigQuery, Snowflake, Apache Parquet, and Apache Iceberg. Beam Playground provides a way to try examples and transforms without a local installation. The software is free and open source; the listed plan is free, but execution costs depend on the runner and infrastructure selected. It targets data and software developers building pipelines on supported back ends. APIs may change before the first stable 1.x release, and semantic-versioning practice has exceptions.

Visit beam.apache.org

Apache Flink

Apache Flink is a free, self-hosted framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It supports event-driven applications, stream and batch analytics, and data pipelines and ETL. Listed correctness features include exactly-once state consistency, event-time processing and late-data handling. APIs include SQL for stream and batch data, DataStream and ProcessFunction for time and state. Operational capabilities cover flexible deployment, high availability, savepoints, scale-out architecture, very large state and incremental checkpoints. The project lists low latency, high throughput and in-memory computing. Flink runs in common cluster environments; for Kubernetes, the Kubernetes Operator is identified as the standard deployment mechanism. Connectors include AWS, Cassandra, Elasticsearch, Google Cloud PubSub, HBase, Hive, JDBC, Kafka, MongoDB, OpenSearch, Prometheus, Pulsar and RabbitMQ. Security requires configuration because SSL/TLS, REST authentication and SQL Gateway authentication are disabled by default. It is available at free under Apache License v2.

Visit flink.apache.org