Amazon Deequ vs QuerySurge

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.

QuerySurge is an AI-powered data quality platform for automating validation across an organization's data ecosystem, from extract and transform work through loading and reporting. It compares data between sources, targets and reports without manual SQL, and its AI can generate tests from mapping documents. The company lists more than 200 data-store connections, including Databricks, Snowflake, Microsoft Fabric, Oracle, Redshift, BigQuery, MongoDB, Power BI and Tableau. REST API validation supports CI/CD workflows, with integrations such as Jenkins, GitLab and Azure DevOps; test management connections include Jira, OpenText ALM and IBM Engineering Test Management. Deployment can be on bare-metal servers or virtual machines on premises or in a private cloud, with pay-as-you-go options in Azure and AWS. Trial choices are a 1-day hosted cloud trial for one user and a 15-day download trial for two users. The download trial lists Windows, Red Hat or Fedora, with minimum requirements of 16 GB RAM and 100 GB available disk space. Pricing note: From $514/user; no free plan is listed.