Head-to-head · Data Transformation Tools
Dataform vs Pentaho Data Integration
Dataform leads on 1 check, Pentaho Data Integration on 0, and 3 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 scoreDataform · 9.2/10
- Free planonly Dataform
- Free trialonly Pentaho Data Integration
Dataform scores higher on our rubric for data transformation tools: 9.2 against 8.3 out of 10; our editors rank them #1 and #10.
Dataform offers free plan; Pentaho Data Integration doesn't. On deployment model, Pentaho Data Integration gives you Hybrid where Dataform offers Cloud. On transformation interface, Pentaho Data Integration gives you Visual where Dataform offers Sql.
Dataform is the better fit for SQL transformation in BigQuery. Pentaho Data Integration is the better fit for organizations needing self-hosted graphical ETL.
- Dataform fits best
SQL transformation in BigQuery
- Pentaho Data Integration fits best
Organizations needing self-hosted graphical ETL
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Side by side
| Feature | Dataform 9.2/10 Visit ↗ | Pentaho Data Integration 8.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.3 |
| Ranking | #1 in Data Transformation Tools | #10 in Data Transformation Tools |
| Best for | SQL transformation in BigQuery | Organizations needing self-hosted graphical ETL |
| Pricing model | Free | Paid |
| Starting price | Free | — |
| Free plan | ✓ (best) | — |
| Free trial | — | 30 days |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Windows, Linux, macOS, Web |
| Support | Docs, Community | Docs · 24/7 |
| Integrations | 9 integrations | 10 integrations |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Dataform 3/3 · Pentaho Data Integration 3/3 | ||
| Version control | ✓ | ✓ |
| Workflow orchestration | ✓ | ✓ |
| Data quality checks | ✓ | ✓ |
| Specs | ||
| Deployment model | Cloud | Hybrid |
| Transformation interface | Sql | Visual |
| Supported data formats | SQLX, JavaScript, JSON | Flat files, relational databases, Hadoop, NoSQL, cloud storage, JSON, XML, Parquet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Dataform is a managed Google Cloud service for data analysts and data engineers who build, test, version-control, document, and schedule SQL workflows in BigQuery. Its SQLX interface supports tables, views, incremental tables, materialized… Read the review → |
Pentaho Data Integration (PDI), from Hitachi Vantara, handles ETL and data orchestration for teams that ingest, cleanse, blend, and deliver data across environments. Its visual pipeline designer and execution engines suit organizations… Read the review → |
Strengths and trade-offs
Dataform — where it wins
- Free Dataform service access with SQLX and JavaScript workflows
- Dependency graphs, assertions, tests, logs, and monitoring
- Git connections plus scheduling through Google Cloud services
Where it doesn't
- Verified table and view outputs are centered on BigQuery
- Related Google Cloud services may incur separate charges
- Best suited to SQL-led workflows rather than broad format coverage
Pentaho Data Integration — where it wins
- Design pipelines with drag-and-drop transformations and job execution.
- Schedule and monitor workflows; profile, cleanse, and validate data.
- Track revisions and reuse templates through repository collaboration controls.
Where it doesn't
- Pricing requires contacting sales, so costs are not readily comparable.
- There is no free plan; the 30-day evaluation is time-limited.
- Version control depends on enabling it in the repository configuration.
- Dataform9.2/10 · Free plan
A free, managed workflow service for SQL transformation and testing in BigQuery.
Visit DataformFull verdict → - Pentaho Data Integration8.3/10 · Pricing on request · 30-day trial
Visual ETL and orchestration for teams that need cloud or self-hosted deployment.
Visit PentahoFull verdict →
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All data transformation tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







