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Best Data Quality Testing Tools in 2026

  1. 01 Amazon Deequ

    Deequ suits teams using Apache Spark to check large datasets before they reach consuming systems or machine-learning algorithms.

    Free plan Windows · macOS · Linux · API
    8.7 Visit Specs
  2. 02 Soda

    Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams.

    From $750/mo Free plan Web · Linux · API · Self-hosted
    8.5 Visit Specs
  3. 03 Datafold
    Web · API · Self-hosted
    7.9 Visit Specs
  4. 04 Great Expectations

    GX suits data teams that need to define and run validation checks, with interfaces and documentation for both technical and nontechnical stakeholders.

    Free plan Web · macOS · Linux · API
    7.9 Visit Specs
  5. 05 Metaplane

    Metaplane suits teams monitoring data in warehouses and BI workflows that want anomaly detection, alerts, or lineage.

    Free plan Web · API
    7.1 Visit Specs
  6. 06 Anomalo
    Web
    6.0 Visit Specs
  7. 07 AWS Glue Data QualityAmazon Web Services
    5.7 Visit Specs
  8. 08 ElementaryElementary Data
    5.7 Visit Specs
  9. 09 BigeyeDatadog
    5.6 Visit Specs
How this list is ordered. Specifiction scores each tool on how fully its maker documents it, whether its prices are published, where the research puts it, the platforms it runs on and whether it can be tried for free (how we rank). Makers can also buy a numbered place (how Specifiction is paid for).

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