Apache Hop
7.7#1 in data preparation for analyticsFree planFree planWebAPILinuxmacOS
VisitApache Hop vs Google Cloud Data Fusion
Google Cloud Data Fusion
6.3#14 in etl softwareFrom $0.35 a monthWebAPI
VisitWhat both publish
| Fact | Apache Hop | Google Cloud Data Fusion |
|---|---|---|
| Purpose | Apache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows. | Cloud Data Fusion is a fully managed, cloud-native enterprise data integration service for building and managing pipelines that cleanse, prepare, blend, transfer, and transform data. |
| Security | The security page advises upgrading to a version containing a vulnerability fix because binary patches are not produced for individual vulnerabilities. | Google lists integrations with IAM, Private IP, VPC Service Controls, and customer-managed encryption keys. |
Apache Hop plans
- Apache HopFree
Google Cloud Data Fusion plans
- Developer$0.35 a month
- Basic$1.80 a month
- Enterprise$4.20 a month
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 Google Cloud Data Fusion if…
Data Fusion suits teams building managed ETL or ELT pipelines, including teams that want visual design, lineage, or hybrid and multi-cloud portability. Its listed editions distinguish development, testing, and production workloads.