Amazon Deequ vs Atlas

Amazon Deequ is an Apache Spark library for writing data unit tests that measure quality in large datasets, including datasets with billions of rows. Its checks cover row counts, completeness, uniqueness, allowed values, nonnegative values, patterns, and approximate quantiles. Deequ also supports data profiling, stored and queryable metrics, anomaly detection over time, automatic constraint suggestions, and incremental metric computation. Its declarative Data Quality Definition Language includes rules for counts, completeness, uniqueness, statistics, schema matching, freshness, and custom SQL. Row-level evaluation can identify records that pass or fail supported rules, while dataset-level rules such as RowCount and Mean are skipped in that mode. Deequ targets specific Apache Spark versions, so the release must match the Spark version; versions 2.1.0 and later require Java 11. The project provides Maven and sbt dependency examples. It is licensed under Apache 2.0, and Python users can use the PyDeequ interface.

Atlas is a language-independent tool for managing database schemas and migrations through declarative, versioned workflows. It compares a database's current state with a desired schema expressed in HCL, SQL, or an ORM format, then can generate and execute a migration plan. Teams can lint and validate migrations, run safety checks, and test schemas and migrations. The open version supports PostgreSQL, MySQL, MariaDB, SQLite, TiDB, and LibSQL; Pro adds drivers including SQL Server, Oracle, Snowflake, and Databricks. Atlas describes its core engine as open source under Apache 2.0, with advanced features in proprietary versions. Integrations include Kubernetes, Terraform, GitHub Actions, GitLab CI, CircleCI, Bitbucket Pipelines, Azure DevOps, and a Go SDK. Starter is free. Atlas Pro costs $9 per developer per month, plus usage-based pricing for CI/CD pipelines and databases; new users can try Pro for 30 days. Schema Monitoring costs $39 per monitored database per month. Enterprise pricing is custom.