Amazon Deequ
6.7#2 in data quality testing toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitAmazon Deequ vs Soda
What both publish
| Fact | Amazon Deequ | Soda |
|---|---|---|
| Integrations | Deequ is built on Apache Spark, is distributed through Maven artifacts, and has a Python interface called PyDeequ. | Soda advertises integrations with data-stack tools, catalogs, orchestration systems, incident-management tools and CI/CD workflows. |
| License | The library is licensed under the Apache 2.0 License. | Soda Core changed from Apache 2.0 to Elastic License 2.0 in January 2026; the source remains readable and modifiable but cannot be offered as a competing hosted service. |
| Purpose | Deequ is an Apache Spark library for defining unit tests that measure data quality in large datasets. | Soda is a data quality platform for monitoring data quality, catching problems early, understanding issues at source, and taking action. |
Amazon Deequ plans
- Apache 2.0 open-source libraryFree
Soda plans
- FreeFree
- Team$750 a month
- EnterprisePriced on request
Pick Amazon Deequ if…
Deequ suits developers and data teams who want to check data quality in Spark-based pipelines before datasets reach consuming systems or machine-learning algorithms. It is intended for users comfortable working with Spark and its supported release versions.
Pick Soda if…
Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams who need data checks and observability across workflows.