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. ...

  • 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. ...

  • AWS Device Farm

    AWS Device Farm

    Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors. ...

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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BlazeMeter logo

BlazeMeter

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The Load Testing Platform for Developers
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related Selenium posts

Kamil Kowalski
Engineering Manager at Fresha · | 27 upvotes · 716.3K 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.

See more
Benjamin Poon
QA Manager - Engineering at HBC Digital · | 8 upvotes · 583.2K 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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related Postman posts

Noah Zoschke
Engineering Manager at Segment · | 30 upvotes · 1.7M 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 · | 23 upvotes · 1.3M 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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Vrashab Jian
Shared insights
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I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

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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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related Locust posts

Vrashab Jian
Shared insights
on
Flood IO
Locust
Gatling

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

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

See more
Loader.io logo

Loader.io

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Simple Cloud-based Load Testing
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CONS OF LOADER.IO
    No cons available

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    AWS Device Farm logo

    AWS Device Farm

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    Test your app on real devices in the AWS Cloud
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