BlazeMeter vs HammerDB

BlazeMeter is an enterprise continuous testing platform for performance, functional, and API testing, with service virtualization and AI-powered test data. It supports tools and protocols used by JMeter and Taurus, including JMeter, Selenium, Gatling, and Playwright. AI-assisted features include test creation, anomaly detection, log analysis, and APM correlation for test triage. Listed CI/CD integrations include Azure DevOps, Jenkins, TeamCity, Bamboo, AWS CodePipeline, GitHub, and GitLab. Service Virtualization can simulate dependent services, including HTTP or HTTPS services, REST and SOAP APIs, messaging systems, and Kafka. Private Locations let customers test applications or create virtual services behind a firewall using Docker or Kubernetes agents on listed Linux distributions. The free Starter plan lists limits of 50 virtual users, one shared load generator, 10 tests per month, and 20 minutes per test. Performance Basic (Annual) costs $99 a year; APIs Small costs $79 a month. A free Chrome extension records web actions and HTTP requests to create JMeter and Selenium scripts.

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.