Amazon Deequ vs HammerDB

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.

HammerDB is a free database benchmarking application for running workloads across SQL Server, Db2, Oracle, PostgreSQL, MariaDB, MySQL and VillageSQL. It offers graphical, command-line, web and automation interfaces, with Windows and Linux builds, a Docker image and on-premise deployment. Version 6.0 adds CI and pipeline capabilities for MariaDB, MySQL and PostgreSQL, covering schema sizing, workload execution and result capture. It reports I/O measures such as IOPS and MB/s and provides Active Session History viewers for MySQL and MariaDB. Timing profiles use reservoir sampling and extended percentile reporting to compare response-time distributions. Users can upload benchmark artifacts containing workload results, database versions, metrics and system metadata. The web service can run as an SCGI application behind a web server or automation gateway. HammerDB is released under the GNU General Public License Version 3. Automated workflows may require compilers, database dependencies, libraries and operating-system tools.