Alternatives to Apache JMeter logo

Alternatives to Apache JMeter

Testrail, BlazeMeter, Selenium, Postman, and Gatling are the most popular alternatives and competitors to Apache JMeter.
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What is Apache JMeter and what are its top alternatives?

It is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions.
Apache JMeter is a tool in the Load and Performance Testing category of a tech stack.

Top Alternatives to Apache JMeter

  • Testrail

    Testrail

    TestRail helps you manage and track your software testing efforts and organize your QA department. Its intuitive web-based user interface makes it easy to create test cases, manage test runs and coordinate your entire testing process. ...

  • BlazeMeter

    BlazeMeter

    Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.<br> ...

  • Selenium

    Selenium

    Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should!) also be automated as well. ...

  • Postman

    Postman

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...

  • Gatling

    Gatling

    Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support. ...

  • Locust

    Locust

    Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle. ...

  • k6

    k6

    It is a developer centric open source load testing tool for testing the performance of your backend infrastructure. It’s built with Go and JavaScript to integrate well into your development workflow. ...

  • Loader.io

    Loader.io

    Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections. ...

Apache JMeter alternatives & related posts

Testrail logo

Testrail

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Efficiently manage, track and organize your software testing efforts
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PROS OF TESTRAIL
  • 7
    Designed for testers
  • 4
    Easy to use
  • 4
    Easy Intergration
  • 4
    Intutive
  • 3
    Customer Support
  • 1
    Integration to jira
CONS OF TESTRAIL
    Be the first to leave a con

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    BlazeMeter logo

    BlazeMeter

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    The Load Testing Platform for Developers
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    PROS OF BLAZEMETER
    • 9
      I can run load tests without needing JMeter scripts.
    • 3
      Easy to prepare JMeter workers
    CONS OF BLAZEMETER
    • 1
      Costly
    • 1
      UI centric

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    Selenium logo

    Selenium

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    Web Browser Automation
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    PROS OF SELENIUM
    • 169
      Automates browsers
    • 154
      Testing
    • 101
      Essential tool for running test automation
    • 24
      Record-Playback
    • 24
      Remote Control
    • 8
      Data crawling
    • 7
      Supports end to end testing
    • 6
      Functional testing
    • 6
      Easy set up
    • 4
      The Most flexible monitoring system
    • 3
      Easy to integrate with build tools
    • 3
      End to End Testing
    • 2
      Integration Tests
    • 2
      Comparing the performance selenium is faster than jasm
    • 2
      Record and playback
    • 2
      Compatible with Python
    • 2
      Easy to scale
    • 0
      Integrated into Selenium-Jupiter framework
    CONS OF SELENIUM
    • 7
      Flaky tests
    • 2
      Slow as needs to make browser (even with no gui)

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    Kamil Kowalski
    Lead Architect at Fresha · | 27 upvotes · 1.2M views

    When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

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    Benjamin Poon
    QA Manager - Engineering at HBC Digital · | 8 upvotes · 750.5K views

    For our digital QA organization to support a complex hybrid monolith/microservice architecture, our team took on the lofty goal of building out a commonized UI test automation framework. One of the primary requisites included a technical minimalist threshold such that an engineer or analyst with fundamental knowledge of JavaScript could automate their tests with greater ease. Just to list a few: - Nightwatchjs - Selenium - Cucumber - GitHub - Go.CD - Docker - ExpressJS - React - PostgreSQL

    With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.

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    Postman logo

    Postman

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    Only complete API development environment
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    PROS OF POSTMAN
    • 486
      Easy to use
    • 369
      Great tool
    • 275
      Makes developing rest api's easy peasy
    • 156
      Easy setup, looks good
    • 143
      The best api workflow out there
    • 53
      It's the best
    • 53
      History feature
    • 44
      Adds real value to my workflow
    • 42
      Great interface that magically predicts your needs
    • 34
      The best in class app
    • 11
      Can save and share script
    • 9
      Fully featured without looking cluttered
    • 7
      Option to run scrips
    • 7
      Collections
    • 7
      Global/Environment Variables
    • 6
      Dead simple and useful. Excellent
    • 6
      Dark theme easy on the eyes
    • 6
      Shareable Collections
    • 5
      Great integration with newman
    • 5
      Awesome customer support
    • 4
      Documentation
    • 4
      The test script is useful
    • 4
      Simple
    • 3
      Makes testing API's as easy as 1,2,3
    • 3
      Easy as pie
    • 3
      Saves responses
    • 3
      This has simplified my testing significantly
    • 2
      API-network
    • 2
      Mocking API calls with predefined response
    • 2
      I'd recommend it to everyone who works with apis
    • 1
      Graph
    • 1
      Pre-request Script and Test attributes are invaluable
    • 1
      Continuous integration using newman
    • 1
      Now supports GraphQL
    • 1
      Postman Runner CI Integration
    • 1
      Easy to setup, test and provides test storage
    • 0
      Runner
    • 0
      <a href="http://fixbit.com/">useful tool</a>
    CONS OF POSTMAN
    • 9
      Stores credentials in HTTP
    • 7
      Poor GraphQL support
    • 7
      Bloated features and UI
    • 6
      Cumbersome to switch authentication tokens
    • 2
      Expensive
    • 1
      Support websocket
    • 1
      Import curl
    • 1
      Import swagger
    • 1
      Can't prompt for per-request variables

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    Noah Zoschke
    Engineering Manager at Segment · | 30 upvotes · 2.1M views

    We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

    Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

    Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

    This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

    Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

    Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

    Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

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    Simon Reymann
    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 25 upvotes · 2.1M views

    Our whole Node.js backend stack consists of the following tools:

    • Lerna as a tool for multi package and multi repository management
    • npm as package manager
    • NestJS as Node.js framework
    • TypeScript as programming language
    • ExpressJS as web server
    • Swagger UI for visualizing and interacting with the API’s resources
    • Postman as a tool for API development
    • TypeORM as object relational mapping layer
    • JSON Web Token for access token management

    The main reason we have chosen Node.js over PHP is related to the following artifacts:

    • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
    • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
    • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
    • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
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    Gatling logo

    Gatling

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    Open-source load testing framework based on Scala, Akka and Netty
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    PROS OF GATLING
    • 5
      Great detailed reports
    • 5
      Can run in cluster mode
    • 4
      Loadrunner
    • 2
      Scala based
    • 1
      Load test as code
    CONS OF GATLING
    • 2
      Steep Learning Curve
    • 1
      Hard to test non-supported protocols
    • 0
      Not distributed

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    Shared insights
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    Vrashab Jian
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    Locust logo

    Locust

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    Define user behaviour with Python code, and swarm your system with millions of simultaneous users
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    PROS OF LOCUST
    • 9
      Supports distributed
    • 5
      Easy to use
    • 4
      Open source
    • 3
      Fast
    • 3
      Hackable
    • 3
      Easy to setup
    • 2
      Test Anything
    • 1
      Cons
    CONS OF LOCUST
    • 1
      Bad design

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    LocustLocustGatlingGatlingJenkinsJenkins

    I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

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    Vrashab Jian
    Shared insights
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    Flood IOFlood IOLocustLocustGatlingGatling

    I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

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    k6 logo

    k6

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    Developer centric open-source load and performance testing tool
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    PROS OF K6
    • 10
      Fits nicely in a CI workflow
    • 10
      It's code-first
    • 9
      Open-source
    • 8
      Test scripts are written in javascript
    • 7
      Easy to use
    CONS OF K6
    • 2
      Requires bundling and transpiling to use npm packages

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    Loader.io logo

    Loader.io

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    Simple Cloud-based Load Testing
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    PROS OF LOADER.IO
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      Easy to use
    • 6
      Free tier
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      Heroku add-on
    CONS OF LOADER.IO
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