Deequ suits teams using Apache Spark who want repeatable data checks before data reaches consuming systems or machine-learning algorithms.
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Best Data Quality Testing Tools 2026
These tools test data against set expectations and surface problems before they propagate. This guide helps you compare pricing models, trial access, free plans and deployment options.
The list is ordered by release recency using figures that makers publish, with no scoring. Check licence terms, trial length and platform fit before you choose.
Great Expectations
WebMacLinux+2Soda
Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams.
WebLinuxAPI+1Metaplane
Metaplane may suit teams that want to monitor data quality across connected warehouses and analytics tools.
WebAPIDatafold
WebAPISelf-hostedBefore you choose
Compare pricing models
The list covers free, freemium and paid models. Amazon Deequ is available at no cost as an open-source project. Within freemium models, Great Expectations, Metaplane and Soda offer plans at no charge.
Anomalo and Datafold use paid models with pricing on request. Elementary's Scale, Enterprise and Unlimited plans are priced on request.
Check free plans and trials
A free plan can let you assess a tool without a paid commitment. The listings show free plans for Amazon Deequ, Great Expectations, Metaplane and Soda.
Trial lengths differ: Anomalo lists 30 days, while Datafold and Metaplane list 14 days.
Match your platform
Check whether the deployment option fits your setup. Across the list, supported environments include API, web, self-hosted, Linux, macOS and Windows.
Anomalo identifies the web as its platform. Confirm the platform details for the tool you are considering.
Read licence terms
Anyone needing to inspect or modify code should review the licence before choosing a tool. Amazon Deequ's listing identifies it as open source.
For hosted or paid products, review the maker's plan and pricing terms before committing.