Apache Hop vs Google Cloud Data Fusion
Apache Hop
hop.apache.orgGoogle Cloud Data Fusion
cloud.google.comSide by side
| Figure | Apache Hop | 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 | 9.0 (#3) | 7.9 (#13) |
| Spec score · Data Integration | 9.0 (#3) | 7.8 (#15) |
| 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. |
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 Hop
Apache Hop is an open-source platform for data integration and orchestration. Its visual canvas lets users assemble pipelines, preview rows at individual steps, and watch live data and metrics during execution. A pipeline can run locally, on Hop Server, on Apache Spark, or on Flink and Dataflow through Apache Beam. Hop includes more than 250 pipeline transforms, more than 80 workflow actions, and support for over 40 database dialects. Listed connections include PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, BigQuery, Kafka, Salesforce, SAP, S3, REST, and SFTP. Teams can switch environments when moving projects from development to production and keep credentials outside pipeline definitions. Apache Hop is free under the Apache License 2.0. It runs on Linux, macOS, and Windows; Hop Web works in modern browsers. Release 2.19.0 requires Java 21. Docker images and a Kubernetes Helm chart are available; Hop Web is work in progress and provided as-is.
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.