Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Data Transformation Tools

Apache Hop vs OpenRefine

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Apache Hop #5 in Data Transformation Tools 8.8/10 Free plan Free plan✓ 0 of 3 features Visit Apache Hop
OpenRefine #8 in Data Transformation Tools 8.5/10 Free plan Free plan✓ 0 of 3 features Visit OpenRefine

Apache Hop leads on 0 checks, OpenRefine on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Hop · 8.8/10
  • Free planboth

Apache Hop scores higher on our rubric for data transformation tools: 8.8 against 8.5 out of 10; our editors rank them #5 and #8.

Apache Hop is the better fit for teams seeking open-source visual ETL across runtimes. OpenRefine is the better fit for free interactive data cleaning and exploration.

  • Apache Hop fits best

    Teams seeking open-source visual ETL across runtimes

  • OpenRefine fits best

    Free interactive data cleaning and exploration

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 Apache Hop 8.8/10 Visit ↗ OpenRefine 8.5/10 Visit ↗
At a glance
Editor score 8.8 8.5
Ranking #5 in Data Transformation Tools #8 in Data Transformation Tools
Best for Teams seeking open-source visual ETL across runtimes Free interactive data cleaning and exploration
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted, Desktop Desktop
Platforms Windows, macOS, Linux Web, Windows, macOS, Linux
Support Community, Docs Community, Docs
Integrations 20 integrations 4 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Apache Hop 0/3 · OpenRefine 0/3
Version control Not checked yet Not checked yet
Workflow orchestration Not checked yet Not checked yet
Data quality checks Not checked yet Not checked yet
Specs
Deployment model Not checked yet Not checked yet
Transformation interface Not checked yet Not checked yet
Supported data formats Not checked yet Not checked yet
Our review
Pros
  • 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
  • Facets, filters, clustering, and transformations support practical data cleanup.
  • Reconciliation connects datasets with services such as Wikidata and Wikibase.
  • Exports include CSV, Excel, Google Sheets, SQL, and other formats.
Cons
  • Visual design and multiple runtimes may require data-engineering expertise
  • Deployment options include containers and Kubernetes Helm
  • Support channels are community and documentation
  • Local desktop deployment is less suited to hosted, shared workflows.
  • Pipeline orchestration is narrower than in more automation-focused tools.
  • External-tool batch automation is not maintained by the OpenRefine team.
Our verdict

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 →

OpenRefine is free, open-source software for cleaning, transforming, and extending messy datasets. It runs locally on Windows, macOS, and Linux while presenting its workspace through a web browser. Its audience includes analysts,…

Read the review →
  1. Apache HopData Transformation Tools 8.8Free plan
  2. OpenRefineData Transformation Tools 8.5Free plan

Strengths and trade-offs

  • 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

  • OpenRefine — where it wins

    • Facets, filters, clustering, and transformations support practical data cleanup.
    • Reconciliation connects datasets with services such as Wikidata and Wikibase.
    • Exports include CSV, Excel, Google Sheets, SQL, and other formats.

    Where it doesn't

    • Local desktop deployment is less suited to hosted, shared workflows.
    • Pipeline orchestration is narrower than in more automation-focused tools.
    • External-tool batch automation is not maintained by the OpenRefine team.

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