Apache Hop
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VisitApache Hop vs Dataform
What both publish
| Fact | Apache Hop | Dataform |
|---|---|---|
| Purpose | Apache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows. | Dataform helps data teams develop, test, version control, and schedule SQL workflows that transform data in BigQuery. |
| Security | The security page advises upgrading to a version containing a vulnerability fix because binary patches are not produced for individual vulnerabilities. | Dataform compiles code in a sandbox without internet access, and compilation cannot call external APIs. |
Apache Hop plans
- Apache HopFree
Dataform plans
- DataformFree
Pick Apache Hop if…
Hop suits data teams that want visual pipeline design and workflow orchestration across varied databases and execution environments. It is appropriate for users able to manage Java 21 for version 2.19.0 and carefully restrict destructive operations.
Pick Dataform if…
Dataform suits data analysts and data engineers building and collaborating on BigQuery transformation pipelines. It may fit teams that want SQL workflow development alongside version control, quality checks, and orchestration.