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Amazon Deequ

No phone app

5.2No. 16 of 26
in Database Testing Tools
  • Recognised40% of the score20
  • Phone app26% of the score0
  • Documented20% of the score43
  • Free plan14% of the score30
Free plan
No
Runs on
api, Linux, Mac, self-hosted, Windows
Visit site Alternatives

Summary

Amazon Deequ is ranked #16 of 26 in database testing tools on Samsung Mobile US Press. It runs on API, Linux, macOS, Self-hosted, Windows.

Compared on database testing tools

Schema migration tests
Yesgithub.com
Data quality checks
Yesgithub.com
Test execution
self_hostedgithub.com
Test language
Scala, Java, DQDL, SQLgithub.com

Facts

Purpose
Deequ is an Apache Spark library for defining data unit tests that measure quality in large datasets.github.com · 4 Oct 2026
Data scale
The project says Deequ is designed for very large datasets, including billions of rows, typically stored in a distributed filesystem or data warehouse.github.com · 4 Oct 2026
Checks
Checks can validate row counts, completeness, uniqueness, allowed values, nonnegative values, patterns, and approximate quantiles.github.com · 4 Oct 2026
Profiling and monitoring
Examples cover data profiling, persisting and querying computed metrics, anomaly detection over time, automatic constraint suggestions, and incremental metrics computation.github.com · 4 Oct 2026
DQDL
Deequ supports the declarative Data Quality Definition Language, including rules for counts, completeness, uniqueness, statistics, schema matching, freshness, and custom SQL.github.com · 4 Oct 2026
Row-level results
Row-level evaluation identifies rows that pass or fail supported rules, while dataset-level rules such as RowCount and Mean are marked as skipped.github.com · 4 Oct 2026
Compatibility
Deequ releases target specific Apache Spark versions; versions 2.1.0 and later require Java 11, and the README lists Spark 3.1 through 3.5 compatibility for Deequ 2.x.github.com · 4 Oct 2026
Installation
The README provides Maven and sbt dependency examples and directs users to select a release matching their Spark version.github.com · 4 Oct 2026
Python interface
The project points Python users to PyDeequ, described on its repository as a Python API for Deequ.github.com · 4 Oct 2026
AWS relationship
AWS Glue Data Quality documentation says that managed service is built on the open-source Deequ framework and uses DQDL.docs.aws.amazon.com · 4 Oct 2026
License
The library is licensed under Apache 2.0.github.com · 4 Oct 2026
Security reporting
The repository security policy asks users not to report security concerns in public GitHub issues and directs them to AWS's Vulnerability Disclosure Program or email.github.com · 4 Oct 2026
Contribution and feedback
The README welcomes feedback and contributions.github.com · 4 Oct 2026

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Sources