Apache Beam vs Apache Kafka
Apache Beam
beam.apache.orgApache Kafka
kafka.apache.orgSide by side
| Figure | Apache Beam | Apache Kafka |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Streaming Analytics Software | 9.0 (#1) | 7.8 (#10) |
| Spec score · Stream Processing Software | 9.0 (#2) | 7.8 (#12) |
| Founded | 2016 | 1999 |
| License | Apache Beam is distributed by the Apache Software Foundation under the Apache License version 2.0. | The Apache Software Foundation identifies Apache License 2.0 as a widely adopted open-source license. |
| Security | Apache release files include OpenPGP signatures and SHA-512 checksums so users can verify downloaded files. | The project describes Kafka as secure; the ASF directs vulnerability reports to its security page. |
| Support | Beam users can get community support through the user mailing list, Stack Overflow, and the Beam Slack channel. | The Apache Software Foundation says it does not provide formal or commercial support for its software packages. |
| Use cases | The same Beam model supports both batch and streaming processing for production data workloads. | The project lists messaging, website activity tracking, metrics, log aggregation, stream processing, event sourcing, and commit logs as Kafka use cases. |
| What it does | Apache Beam is an open-source programming model for building batch and streaming data-processing pipelines. | Apache Kafka is an open-source distributed event streaming platform for data pipelines, streaming analytics, data integration, and mission-critical applications. |
Plans
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.
Apache Kafka
Apache Kafka is an open-source distributed event-streaming platform for data pipelines, streaming analytics, data integration, and mission-critical applications. Applications can publish and subscribe to event streams, retain them durably, and process them either in real time or later. Kafka supports durable, fault-tolerant replication across availability zones, data centers, or geographic regions. Kafka Streams provides stateful operations, aggregations, windowing, joins, event-time processing, and exactly-once processing. Kafka Connect links hundreds of event sources and sinks, including Postgres, JMS, Elasticsearch, and AWS S3. Deployments can use bare metal, virtual machines, or containers, on premises or in the cloud, with self-managed or vendor-managed options. The project describes network-limited throughput, latency as low as 2 ms, and clusters of up to 1,000 brokers. Kafka is self-hosted, free, and open source under Apache License 2.0. A local quickstart requires Java 17 or later.