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Best Free Data Quality Tools in 2026: What Each Free Plan Includes

Prices checked Nov 15, 20264 tools rankedBy BestSoftwareGuides Editorial TeamHow we rank

Soda, Deequ, Elementary, Great Expectations (GX Core) have free plans. The highest-ranked is Soda (8.7/10): Free plan with free Soda Processing Units (SPUs), unlimited users, pipeline testing, metrics observability and alerting; no credit card. Soda Core library is also free to use (Elastic License 2.0).

Data quality tools measure and improve how accurate, complete and consistent your data is. They profile data to show what it looks like, run rules that flag bad records, and in some cases correct or standardise values. Options range from open-source libraries that data engineers run in code to enterprise platforms with business-user interfaces and data cleansing.

Free plans compared

ToolScoreFree planPaid from (annual)Data profilingCustom rule checksML anomaly detectionData cleansing / correctionOpen source
Soda8.7/10YesSee vendorYesYesYesNot confirmedNo
Deequ8.4/10YesSee vendorYesYesNot confirmedNot confirmedYes
Elementary8.4/10YesSee vendorNot confirmedYesYesNot confirmedYes
Great Expectations (GX Core)7.9/10YesSee vendorNot confirmedYesNot confirmedNot confirmedYes
ToolWhat the free plan includesFirst paid plan
SodaFree plan with free Soda Processing Units (SPUs), unlimited users, pipeline testing, metrics observability and alerting; no credit card. Soda Core library is also free to use (Elastic License 2.0).See vendor
DeequOpen-source library (Apache-2.0)See vendor
ElementaryElementary OSS: open-source dbt package and CLI, self-hostedSee vendor
Great Expectations (GX Core)GX Core open-source library (Apache-2.0), self-hostedSee vendor

The free options

#1

Soda

Best forData engineering teams that want data contracts and pipeline tests with a free tier and published team price

Data quality platform built around data contracts, with metric monitoring and a Python engine (Soda Core).

Free plan · paid from $750/mo · #2 overall
8.7/10
#2

Deequ

Best forSpark and Scala/Python engineers validating large datasets in batch pipelines

Open-source library from AWS Labs for defining unit tests for data on Apache Spark.

Free plan · #3 overall
8.4/10
#3

Elementary

Best forAnalytics engineering teams that build with dbt

dbt-native data observability with an open-source package and CLI plus a paid cloud platform.

Free plan · paid plans quote-only · 30-day free trial of Elementary Cloud · #4 overall
8.4/10
#4

Great Expectations (GX Core)

Best forPython data engineers who want code-defined data tests in pipelines at no license cost

Open-source Python library for testing data with declarative 'Expectations'.

Free plan · #6 overall
7.9/10

Head-to-head comparisons

Soda vs Deequ
8.7 vs 8.4 out of 10
Soda vs Great Expectations (GX Core)
8.7 vs 7.9 out of 10
Deequ vs Elementary
8.4 vs 8.4 out of 10
Deequ vs Great Expectations (GX Core)
8.4 vs 7.9 out of 10
Elementary vs Great Expectations (GX Core)
8.4 vs 7.9 out of 10

More data quality tools rankings

All Data Quality Tools
17 tools
Open-Source Data Quality Tools
3 tools · #1 Deequ

Frequently asked questions

Is Soda free?

Yes. Free plan with free Soda Processing Units (SPUs), unlimited users, pipeline testing, metrics observability and alerting; no credit card. Soda Core library is also free to use (Elastic License 2.0). Paid plans start at see vendor.

Is Deequ free?

Yes. Open-source library (Apache-2.0) Paid plans start at see vendor.

Is Elementary free?

Yes. Elementary OSS: open-source dbt package and CLI, self-hosted Paid plans start at see vendor.

Is Great Expectations (GX Core) free?

Yes. GX Core open-source library (Apache-2.0), self-hosted Paid plans start at see vendor.

Sources

Scores come from published, repeatable data (features, free plan, entry price, pricing transparency). No vendor can pay to change a score. Read the methodology · Disclosure.