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SPECIFICTION
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BlazeMeter vs Traffic Parrot

BlazeMeter

blazemeter.com

Traffic Parrot

trafficparrot.com

Side by side

FigureBlazeMeterTraffic Parrot
Price from$8.25/mo—
Free plan——
Free trialYesYes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published101
Spec score · Service Virtualization Software8.3 (#6)7.5 (#16)

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 →

Traffic Parrot

  • Traffic Parrot EnterprisePriced on request

Traffic Parrot 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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Traffic Parrot

Traffic Parrot simulates APIs, services, and other systems so teams can test applications and microservices separately from the systems they depend on. It records and replays HTTP(S), gRPC, JMS, IBM MQ, Thrift, and file-transfer traffic. Scripting and templates produce dynamic responses, while stateful simulation, fault injection, database virtualization, and messaging virtualization cover different test scenarios. APIs plus Maven and Gradle plugins support automation, and an MCP server lets AI assistants discover and call its tools with optional bearer-token authentication. It can run in Docker, Kubernetes, OpenShift, AWS, Azure, Google Cloud, CI/CD pipelines, laptops, or virtual machines. Java 17 or later is required. Windows, Linux, macOS, web, API, and self-hosted use are listed. Pricing is on request; Enterprise depends on licence count and selected features. A 14-day trial requires a business email. Shared-environment user management is unavailable.

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