Apache Beam vs ClickHouse Cloud
Apache Beam
beam.apache.org
ClickHouse Cloud
clickhouse.comSide by side
| Figure | Apache Beam | ClickHouse Cloud |
|---|---|---|
| Price from | Free | $25.30/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Big Data Analytics Software | 9.1 (#1) | 8.9 (#5) |
| Company size | LinkedIn lists the Apache Software Foundation company size as 5,001–10,000 employees. | LinkedIn lists ClickHouse as a privately held software company with 501-1,000 employees. |
| Founded | 2016 | 2021 |
| Rating on G2 | 4.1 out of 5 from 16 reviews | 4.5 out of 5 from 23 reviews |
| Security | Apache release files include OpenPGP signatures and SHA-512 checksums so users can verify downloaded files. | The Cloud page lists access controls, encryption in transit and at rest, activity logging, and SOC 2 Type II compliance. |
| Self-hosting | Direct, Flink, Spark, Samza, Twister2 and other runners allow pipelines to run on user-managed infrastructure, while Dataflow is managed. | ClickHouse can be run outside the cloud, with official distribution options for Windows, Docker, Linux and macOS. |
| Support | Beam users can get community support through the user mailing list, Stack Overflow, and the Beam Slack channel. | Cloud subscriptions include support services; the support page lists unlimited support cases and 24x7 support for Severity 1 issues for monthly pay-as-you-go or annual customers. |
| What it does | Apache Beam is an open-source programming model for building batch and streaming data-processing pipelines. | ClickHouse Cloud is a fully managed service for real-time analytics, observability and AI data applications. |
Plans
ClickHouse Cloud
- Basic$25.30 a month
- Enterprise$25.30 a month
- Scale$25.30 a month
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.
ClickHouse Cloud
ClickHouse Cloud has no write-up on Specifiction yet; its figures are above.