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BlazeMeter vs DATPROF

BlazeMeter

blazemeter.com

DATPROF

datprof.com

Side by side

FigureBlazeMeterDATPROF
Price from$8.25/mo—
Free plan——
Free trialYesYes
Open source——
WebYesYes
Windows—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published101
Spec score · Test Data Management Software8.4 (#4)7.9 (#8)

Plans

BlazeMeter

  • APIs Small$79 a month
  • Performance Basic (Annual)$99 a year
  • Performance Basic (Monthly)$149 a month
  • APIs Medium$199 a month
  • Performance Pro (Annual)$499 a year
  • APIs Large$599 a month
  • Performance Pro (Monthly)$649 a month
  • APIs UnleashedPriced on request
  • Performance AWSPriced on request
  • Performance UnleashedPriced on request

BlazeMeter pricing →

DATPROF

  • Custom pricingPriced on request

DATPROF pricing →

In their own words

BlazeMeter

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.

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DATPROF

DATPROF is a test data management platform for creating, protecting, automating and delivering data for development, testing and QA. Its modules cover privacy, subsetting, runtime, analysis and virtualization. Privacy masks test data and creates synthetic data while retaining representative characteristics, with more than 50 built-in generators supporting different languages. Subset extracts selected production data for test environments while preserving relationships. Runtime supports self-service provisioning, scheduling, monitoring and REST API automation. DATPROF can be deployed on premise or in the cloud, and says data stays in its database domains during masking. Native database support includes Oracle, Microsoft SQL Server, DB2 iSeries, DB2 LUW, PostgreSQL, EDB, MySQL and MariaDB. Supported flat file formats include CSV, Fixed Length, Recursive Fixed Length and XML. DATPROF says its masking can support GDPR, PCI and HIPAA requirements. Its security program aligns with ISO 27001 principles and includes SAST, dependency scanning and DAST in development. Support is available through a service desk portal, email and a documentation knowledge base. Pricing is available on request, and a free trial is listed.

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