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Head-to-head · Data Transformation Tools

Dataform vs Apache Hop

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Dataform #1 in Data Transformation Tools 9.2/10 Free plan Free plan✓ 3 of 3 features Visit Dataform
Apache Hop #5 in Data Transformation Tools 8.8/10 Free plan Free plan✓ 0 of 3 features Visit Apache Hop

Dataform leads on 0 checks, Apache Hop 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 scoreDataform · 9.2/10
  • Free planboth
  • Most featuresDataform · 3 of 3

Dataform scores higher on our rubric for data transformation tools: 9.2 against 8.8 out of 10; our editors rank them #1 and #5.

Dataform is the better fit for SQL transformation in BigQuery. Apache Hop is the better fit for teams seeking open-source visual ETL across runtimes.

  • Dataform fits best

    SQL transformation in BigQuery

  • Apache Hop fits best

    Teams seeking open-source visual ETL across runtimes

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Dataform 9.2/10 Visit ↗ Apache Hop 8.8/10 Visit ↗
At a glance
Editor score 9.2 8.8
Ranking #1 in Data Transformation Tools #5 in Data Transformation Tools
Best for SQL transformation in BigQuery Teams seeking open-source visual ETL across runtimes
Pricing model Free Free
Starting price Free Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud Cloud, Self-hosted, Desktop
Platforms Web Windows, macOS, Linux
Support Docs, Community Community, Docs
Integrations 9 integrations 20 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Dataform 3/3 · Apache Hop 0/3
Version control ✓ (best) Not checked yet
Workflow orchestration ✓ (best) Not checked yet
Data quality checks ✓ (best) Not checked yet
Specs
Deployment model Cloud Not checked yet
Transformation interface Sql Not checked yet
Supported data formats SQLX, JavaScript, JSON Not checked yet
Our review
Pros
  • Free Dataform service access with SQLX and JavaScript workflows
  • Dependency graphs, assertions, tests, logs, and monitoring
  • Git connections plus scheduling through Google Cloud services
  • Visual pipeline and workflow design with metadata-driven configuration
  • 250+ transforms, 80+ workflow actions and 40+ database dialects
  • Runs locally or on server, Spark, Flink and Dataflow
Cons
  • 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
  • Visual design and multiple runtimes may require data-engineering expertise
  • Deployment options include containers and Kubernetes Helm
  • Support channels are community and documentation
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 →

Apache Hop is an open-source platform for data orchestration, engineering, integration and ETL. Its visual environment lets data engineers and teams design pipelines and workflows, with metadata-driven configuration for repeatable…

Read the review →
  1. DataformData Transformation Tools 9.2Free plan
  2. Apache HopData Transformation Tools 8.8Free plan

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

  • Apache Hop — where it wins

    • Visual pipeline and workflow design with metadata-driven configuration
    • 250+ transforms, 80+ workflow actions and 40+ database dialects
    • Runs locally or on server, Spark, Flink and Dataflow

    Where it doesn't

    • Visual design and multiple runtimes may require data-engineering expertise
    • Deployment options include containers and Kubernetes Helm
    • Support channels are community and documentation

More comparisons

All data transformation tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update