Apache Beam vs Google Cloud Data Fusion
Apache Beam
beam.apache.orgGoogle Cloud Data Fusion
cloud.google.comSide by side
| Figure | Apache Beam | Google Cloud Data Fusion |
|---|---|---|
| Price from | Free | $0.35/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 3 |
| Spec score · ETL Software | 9.1 (#1) | 7.9 (#13) |
| Connectors | Beam I/O connectors provide read and write transforms for external storage systems, with connectors available for both batch and streaming pipelines. | Google says the product includes more than 150 preconfigured connectors and transformations at no additional cost. |
| Security | Apache release files include OpenPGP signatures and SHA-512 checksums so users can verify downloaded files. | Google lists integrations with IAM, Private IP, VPC Service Controls, and customer-managed encryption keys. |
Plans
Google Cloud Data Fusion
- Developer$0.35 a month
- Basic$1.80 a month
- Enterprise$4.20 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.
Google Cloud Data Fusion
Google Cloud Data Fusion is a cloud service for building and managing data pipelines that cleanse, prepare, blend, transfer, and transform data. Its visual interface lets teams design ETL and ELT pipelines without writing code. More than 150 preconfigured connectors and transformations are included at no additional cost, and lineage tracking covers datasets and individual fields for root-cause and impact analysis. It integrates with Cloud Storage, Managed Service for Apache Spark, BigQuery, and Spanner. Replication supports SQL Server, Oracle, and MySQL into BigQuery, with Datastream integration for change streams. Security integrations include IAM, Private IP, VPC Service Controls, and customer-managed encryption keys. REST APIs, schedules, triggers, logs, metrics, and dashboards support operations. Built on open-source CDAP, it supports portability across hybrid and multi-cloud environments. Basic provides 120 free pipeline-development hours monthly per account; new customers get $300 in credits. Developer costs $0.35 a month, Basic $1.80 a month, and Enterprise $4.20 a month. Execution resources are billed separately.