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Best Data Quality Testing Tools in 2026

Data quality testing tools help teams define checks, review data conditions and keep quality rules visible. Compare how a tool is delivered and whether its pricing fits your work. Listings may cover API, web, self-hosted, Linux, macOS or Windows. If you need a phone app, check the individual entry for Android support before choosing.

9 appsSorted 28 Oct 2026How we rank
17.5
Soda logo

Soda is a data quality platform for monitoring production data, identifying issues, and taking action.

Free planWebAPILinux
From $750 a month
26.7

Amazon Deequ is a free, open-source Apache Spark library for defining data unit tests that measure quality in large datasets.

Free planAPILinuxmacOS
Free plan
36.6
Great Expectations logo

Great Expectations is a data-validation framework for defining expressive tests and checking whether data satisfies them.

Free planWebAPILinux
Free plan
  1. 4Metaplane logo

    Metaplane

    Metaplane is a cloud data observability platform for monitoring data quality before issues affect business operations.

    Free planWebAPI
    6.2Free plan
  2. 5Datafold logo

    Datafold

    Datafold is a web-based data testing platform for teams that need to check data quality and schema changes.

    WebAPISelf-hosted
    6.0
  3. 6
    4.8
  4. 7

    Elementary

    Elementary Data

    4.7
  5. 8

    Bigeye

    Datadog

    4.4
  6. 9

    AWS Glue Data Quality

    Amazon Web Services

    4.3

Choosing well

Match the platform to your setup

Check whether you need a web service, API, self-hosted deployment or a desktop operating system. Platform notes for this category can include Linux, macOS and Windows.

For phone access, verify Android support in the individual listing rather than assuming it from web or API availability.

Compare free plans and trials

A free plan is available from entries in this category, while other products use paid pricing or provide a trial. Read the pricing model and terms before settling on a tool.

Anomalo shows a trial lasting 30 days. Datafold and Metaplane show 14-day trial periods; Soda has a free plan, with paid service starting at $750 per month.

Check the licence and code access

When code access or modification matters, review the licence and hosting model. Amazon Deequ is described as free, open-source software.

A hosted service may suit a web-first workflow, while self-hosted availability can matter when you need control over deployment.

Review coverage and freshness

Compare the breadth of checks and integrations described by the maker, along with documentation freshness. These details can matter more than a familiar product name.

Look at the individual entry for current platform, plan and documentation details before making a choice.

Questions people ask

Are there Android apps for these tools?

The listed platforms include API, web, self-hosted, Linux, macOS and Windows. Check each entry for Android support before choosing.

Can I start with a free plan?

Check entries such as Amazon Deequ, Great Expectations, Metaplane and Soda for free-plan options.

Which listings include trial access?

Anomalo shows a 30-day trial. Datafold and Metaplane show trials lasting 14 days.

Can I find an open-source option?

Amazon Deequ is described as free, open-source software. Check the licence for any project you plan to read or modify.

Do prices appear on these listings?

Pricing details vary. Soda's paid service starts at $750 per month, while Anomalo, Datafold and Elementary show pricing on request.

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