Head-to-head · ETL Software
Apache Hop vs Matillion Data Productivity Cloud
Apache Hop leads on 0 checks, Matillion Data Productivity Cloud on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreApache Hop · 8.9/10
- Free planonly Apache Hop
Apache Hop scores higher on our rubric for etl software: 8.9 against 8.6 out of 10; our editors rank them #5 and #8.
Apache Hop is the better fit for open-source visual ETL teams. Matillion Data Productivity Cloud is the better fit for cloud-warehouse loading and CDC.
- Apache Hop fits best
Open-source visual ETL teams
- Matillion Data Productivity Cloud fits best
Cloud-warehouse loading and CDC
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Side by side
| Feature | Apache Hop 8.9/10 Visit ↗ | Matillion Data Productivity Cloud 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.6 |
| Ranking | #5 in ETL Software | #8 in ETL Software |
| Best for | Open-source visual ETL teams | Cloud-warehouse loading and CDC |
| Pricing model | Free | Paid |
| Starting price | Free plan | — |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted, Desktop | Cloud, Self-hosted |
| Platforms | Windows, macOS, Linux | Web |
| Support | Community, Docs | Live chat, Tickets, Community, Docs |
| Integrations | 20 integrations | 250+ integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Apache Hop 3/3 · Matillion Data Productivity Cloud 3/3 | ||
| Incremental loading | ✓ | ✓ |
| Change data capture | ✓ | ✓ |
| Custom code transforms | ✓ | ✓ |
| Specs | ||
| Deployment | Hybrid | Hybrid |
| Source connectors | Not checked yet | Not checked yet |
| Destination connectors | Not checked yet | Not checked yet |
| Transformation mode | Mixed | Mixed |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Apache Hop is an open-source data orchestration, engineering, integration, and ETL platform for data engineers and teams building repeatable integration workflows. Its visual environment supports pipeline and workflow design, while… Read the review → |
Matillion Data Productivity Cloud is a cloud data integration platform for data teams building analytics and AI pipelines. It combines batch loading into cloud data platforms, log-based change data capture, transformation, orchestration,… Read the review → |
Strengths and trade-offs
Apache Hop — where it wins
- 250+ pipeline transforms and 80+ workflow actions
- Runs locally, on servers, containers, Spark, Flink, and Dataflow
- Supports CDC, scripting, Kubernetes Helm, and 40+ database dialects
Where it doesn't
- Its breadth may exceed the needs of simple ETL jobs
- Multiple execution runtimes add architecture choices to manage
- Teams wanting a packaged paid tier need a different procurement model
Matillion Data Productivity Cloud — where it wins
- Batch loading and log-based CDC support
- Low-code design with SQL and Python components
- Pre-built and no-code custom connector options
Where it doesn't
- Custom SSO and lineage are listed only in Scale
- Hybrid cloud deployment is listed only in Scale
- Developer lists community support rather than standard support
- Apache Hop8.9/10 · Free plan
A broad, open-source ETL platform for teams that want visual design and runtime flexibility.
Visit Apache HopFull verdict → - Matillion Data Productivity Cloud8.6/10 · Pricing on request
A flexible ETL platform for cloud loading, CDC, and governed pipeline development.
Visit MatillionFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





