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Head-to-head · Data Preparation Software

Amazon SageMaker Data Wrangler vs OpenRefine

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon SageMaker Data Wrangler #2 in Data Preparation Software 9.1/10 Paid ✓ 3 of 3 features Visit Data Wrangler
OpenRefine #7 in Data Preparation Software 8.2/10 Free plan Free plan✓ 1 of 3 features Visit OpenRefine

Amazon SageMaker Data Wrangler leads on 0 checks, OpenRefine on 1, 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 scoreAmazon SageMaker Data Wrangler · 9.1/10
  • Free planonly OpenRefine
  • Most featuresAmazon SageMaker Data Wrangler · 3 of 3

Amazon SageMaker Data Wrangler scores higher on our rubric for data preparation software: 9.1 against 8.2 out of 10; our editors rank them #2 and #7.

OpenRefine offers free plan; Amazon SageMaker Data Wrangler doesn't. On deployment, OpenRefine gives you Desktop where Amazon SageMaker Data Wrangler offers Cloud.

Amazon SageMaker Data Wrangler is the better fit for AWS-based machine-learning preparation. OpenRefine is the better fit for free open-source data cleanup.

  • Amazon SageMaker Data Wrangler fits best

    AWS-based machine-learning preparation

  • OpenRefine fits best

    Free open-source data cleanup

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Side by side

Feature Amazon SageMaker Data Wrangler 9.1/10 Visit ↗ OpenRefine 8.2/10 Visit ↗
At a glance
Editor score 9.1 8.2
Ranking #2 in Data Preparation Software #7 in Data Preparation Software
Best for AWS-based machine-learning preparation Free open-source data cleanup
Pricing model Paid Free
Starting price — Free plan
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Desktop
Platforms Web Web, Windows, macOS, Linux
Support Docs Community, Docs
Integrations 10 integrations 4 integrations
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Amazon SageMaker Data Wrangler 3/3 · OpenRefine 1/3
Data profiling ✓ ✓
Visual workflows ✓ (best) Not checked yet
Scheduled runs ✓ (best) Not checked yet
Specs
Deployment Cloud Desktop
Source connectors Not checked yet Not checked yet
Row limit Not checked yet Not checked yet
Our review
Pros
  • More than 300 built-in transformations and custom code support
  • Quality reports cover missing values, outliers, imbalance, and leakage
  • Exports to SageMaker Pipelines, Feature Store, notebooks, and scripts
  • Facets, filters, clustering, and transformations support detailed data cleanup
  • Expressions in GREL, Clojure, and Jython extend transformation workflows
  • Exports to CSV, Excel, Google Sheets, Wikidata, SQL, and other formats
Cons
  • Usage-based pricing makes costs dependent on compute and processing
  • Cloud-only deployment limits offline and self-hosted workflows
  • Its broadest ecosystem fit is within AWS and connected services
  • No native scheduled runs for recurring data preparation
  • Integration coverage is narrower than broader data platforms
  • Batch automation relies on external tools, not OpenRefine-maintained features
Our verdict

Amazon SageMaker Data Wrangler is a cloud data-preparation capability for machine-learning teams working with tabular, time-series, text, and image data. Its visual and natural-language interfaces support importing, profiling, cleaning,…

Read the review →

OpenRefine is free, open-source software for cleaning, transforming, and extending messy datasets. It runs locally through a web browser on Windows, macOS, and Linux, making it a fit for individuals and teams that want a desktop-based data…

Read the review →
  1. Amazon SageMaker Data WranglerData Preparation Software 9.1Paid
  2. OpenRefineData Preparation Software 8.2Free plan

Strengths and trade-offs

  • Amazon SageMaker Data Wrangler — where it wins

    • More than 300 built-in transformations and custom code support
    • Quality reports cover missing values, outliers, imbalance, and leakage
    • Exports to SageMaker Pipelines, Feature Store, notebooks, and scripts

    Where it doesn't

    • Usage-based pricing makes costs dependent on compute and processing
    • Cloud-only deployment limits offline and self-hosted workflows
    • Its broadest ecosystem fit is within AWS and connected services

  • OpenRefine — where it wins

    • Facets, filters, clustering, and transformations support detailed data cleanup
    • Expressions in GREL, Clojure, and Jython extend transformation workflows
    • Exports to CSV, Excel, Google Sheets, Wikidata, SQL, and other formats

    Where it doesn't

    • No native scheduled runs for recurring data preparation
    • Integration coverage is narrower than broader data platforms
    • Batch automation relies on external tools, not OpenRefine-maintained features

More comparisons

All data preparation software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update