Apache JMeter vs Appium comparison

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Apache JMeter

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Executive Summary

We performed a comparison between Apache JMeter and Appium based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Tricentis, Perforce and others in Performance Testing Tools.

To learn more, read our detailed Performance Testing Tools Report (Updated: January 2026).

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Apache JMeter

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Performance Testing Tools (1st), Load Testing Tools (1st), API Testing Tools (2nd)

Appium

Average Rating

8.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Mobile Development Platforms (7th), Regression Testing Tools (6th)

Mindshare comparison

Apache JMeter and Appium aren’t in the same category and serve different purposes. Apache JMeter is designed for Performance Testing Tools and holds a mindshare of 12.8%, down 24.2% compared to last year.
Appium, on the other hand, focuses on Mobile Development Platforms, holds 3.1% mindshare, down 5.2% since last year.

Performance Testing Tools Market Share Distribution
Product	Market Share (%)
Apache JMeter	12.8%
OpenText Professional Performance Engineering (LoadRunner Professional)	12.1%
Tricentis NeoLoad	10.0%
Other	65.1%

Performance Testing Tools

Mobile Development Platforms Market Share Distribution
Product	Market Share (%)
Appium	3.1%
OutSystems	12.0%
Mendix	10.4%
Other	74.5%

Mobile Development Platforms

Featured Reviews

Raja Rao Malkari

Principal Performance Architect at Tecnotree Corporation

Have built custom performance test scripts and integrated them into automated pipelines seamlessly

Apache JMeter has its own pros and cons when compared to other tools. It is easy to use the tool and it has open-source capability so we can build our custom scripts and execute them. It provides other capabilities, such as integrating a database and connecting to other application servers for monitoring and related functions. We use dynamic HTML reporting, which helps us in testing analysis by pinpointing the bottlenecks based on the reports. We can identify the specific areas that need attention, troubleshoot them, and report to the development team. The user-friendly GUI for creating and managing tests makes it very easy to drag and drop samplers. For example, if you want the HTTP sampler, you can drag and drop it and use it. For configurations, we have other samplers. For results, we have the view results samplers that we can also drag and drop. The UI is good in comparison with other tools. Regarding integration with CI/CD pipelines, we can create Apache JMeter scripts and use the Docker image. From the image, whatever scripting we have done can be connected. We can use the CI/CD pipelines and connect them with Jenkins tools and GitHub. Then we can create the pipelines and automate the end-to-end flow. For connecting Jenkins to Apache JMeter, JMeter plugins are available, and we have used them. Apache JMeter also has some third-party plugins, which are not native samplers. If we want to use custom test executions, we definitely use all the different plugins available in Apache JMeter. The capability to simulate users has impacted testing resources and outcomes as Apache JMeter is based on Java, which has a limit to the users in a particular load generator. Apache JMeter provides distributed load testing where you can connect multiple PCs in a master and slave concept, allowing you to pump the load with any number of users. In the past, I have done load testing with 10,000 users by connecting the Apache JMeter distributed network in BlazeMeter. There is a cloud version available, the updated BlazeMeter, and I used that. It is very easy to launch load generators in BlazeMeter, and then we can run the test, scaling up beyond 10,000 users.

Read full review

APARNA SAHA

Independent consultant, at OpenText

Efficient mobile testing with intuitive emulation capabilities and a user-friendly interface

Initial setup for Appium (especially for iOS) is not beginner-friendly.Consumes too much of your host machine's resources, potentially slowing down the machine.Appium Inspector often lacks deep insight or crashes with certain app builds. Improve test flakiness by intelligently selecting robust self-healing locators,simplified installers, better documentation, GUI-based config management,smart wait mechanisms and better failure logs.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"When there's a high number of TPS I can achieve more transactions per seconds given the hyper-limitations."

"Any front-end technologies like Angular, React, or others might access the services. Therefore, you must ensure that using SAP with JMeter works fine. Unless you ensure this, the front-end team may not access the services properly."

"The reporting features are really good. There's a lot less latency than other solutions."

"We had some challenges testing HTTP/2 APIs, which are becoming more prevalent with advancements like 5G. So, we added another plugin to help with HTTP/2 API load testing. Apache JMeter, with additional plugins, now supports HTTP/2, which is critical as everyone moves from HTTP/1 to HTTP/2."

"The most valuable feature for us is the available information on the forums and to be able to discuss and get answers from the people that are involved in using this tool."

"It gives accurate results and recommendations that we can implement to enhance the performance of websites."

"We appreciate that the solution is free to use, as an open-source tool."

"The new version of the solution is stable."

More Apache JMeter pros

"Appium's best feature is that it supports multiple frameworks."

"The latest versions of the solution are stable."

"Appium has easy interaction with mobile."

"The most valuable feature is that it's easy to launch applications. Appium has everything that Selenium has. So many good tools support Appium. We can take some Excel sheets and use them to fill out the text box that's in there. We can also take screenshots of failures."

"The most valuable features of Appium are the in-built functionality, which we can use in our code. For example, move back, move front, navigate one page before, and navigate one page ahead. You can do this by using the in-built functions from Appium."

"The library is extensive so the driver interacts with most functions or actions on mobile devices."

"Appium's wide support of programming languages is valuable."

"The most valuable feature of Appium is it supports iOS and AOS and is open-source."

More Appium pros

Cons

"There are certain things like we can't merge custom metrics into the JMeter reports. We're limited to JMeter metrics, and other server metrics can't be integrated with JMeter dashboard. This forces us to rely on another tool."

"The tool needs to have a better Graphical User Interface. Many of the solution's features are difficult to understand due to the complex user interface and user experience. The product needs to add plugins. It should also work on the integration with external partners like IDE and API gateways."

"The user interface is a little bit tricky."

"Because so much is being done these days with authentication processes, a better system for either getting bearer tokens or some kind of token-based authentication prior to executing APIs would benefit the product. It is there, and you can do things. It is just not real clean at this point. There should be a better authentication process for JMeter or some automation or better guidelines for gaining and utilizing tokens on the fly."

"In terms of platform support, they need to extend the support for backend platforms and more of the legacy types of platforms."

"JMeter should be more stable. Every time there is a new release coming up, a lot of its older functionalities or the new functionalities that are brought in are not very well-documented. It should be documented properly, and there should be proper use cases."

"What needs improvement in Apache JMeter is the very high load requirements when you want to scale it beyond certain thresholds. For example, small to mid-range testing is very easily done with Apache JMeter, but if you scale and increase the load, then it would be a problem because the tool consumes a lot of resources, probably because Apache JMeter provides an enriched UI experience, so it consumes a lot of memory and requires high CPU usage. This means you have to manage your infrastructure, or else you'll have high overhead expenses. As Apache JMeter is a heavyweight tool, that is an area for improvement, though I'm unsure if Apache can do something about it because it could be a result of the way it's architected. What I'd like to see from Apache JMeter in the future is for it to transition to the cloud, as a lot of cloud technologies emerge around the globe, and a lot of people prefer cloud-based solutions or cloud-native tools. Even if a company has a legacy system, it's still possible to transition to the cloud. I've worked with a company that was an on-premise company that moved to the cloud and became cloud-native. If Apache JMeter could transition to the cloud, similar to k6, then it could help lessen the intense resource consumption that's currently happening in Apache JMeter."

"It has some proxy-based dependencies which require specific proxies to be set up or disabled, which causes problems."

More Apache JMeter cons

"The deployment process and configuration are quite complex and require improvement."

"An application developed on the Unity platform, such as a gaming application, objects are moving in that case. Interacting with those elements is still lacking in Appium. Appium doesn't have the internal library to play with the Unity platform. That is a huge lack right now."

"Image recognition could be improved. We have some images in our mobile applications. It should be able to run from the cloud, so we can automate the catcher."

"We haven't been able to fully leverage Appium for multiple reasons. I think number one is just that the tests take a long time to run. We have had some issues around just the results themselves and how predictable they are, but those are not issues with Appium directly."

"The user interface needs improvement because there are issues when setting up environment variables."

"Configuring the project to be used in Appium is a little bit tedious."

"The challenging part with Appium is that installation can be a bit tricky. It can be challenging to set up in Android versus iOS environments."

"What needs improvement in Appium is its documentation. It needs to give more context on the libraries that Appium is using under the hood. For example, my team is using Appium for Android automation, and a lot of times, I feel that there's functionality that's available through the Appium interface, that exists within the UIAutomator, but there aren't a lot of useful or helpful resources on the internet to find that information, so it would be good to have some linkage with the underlying platform itself. Another room for improvement in Appium is that it's buggy sometimes. For example, at times, there's a bug in the inspector application that doesn't allow me to save my desired capability set, so it would be nice to get that bug fixed, but overall, Appium is a good tool. The Touch Actions functionality in Appium also needs improvement. For example, if I want to initiate a scroll on the device that I'm running Appium on, sometimes Swipe works, but in other situations, I have to explicitly use action chains, so I'm not too sure what's the better approach. What I'd like to see in the next version of Appium is a more intelligent and more intuitive AppiumLibrary, in terms of identifying menus and scroll bars, etc., because right now, I'm unsure if I have to do a lot of export reversals to get to the elements I'm looking for. It would be nice to have some functionality built in, which would allow me to easily get those exports."

More Appium cons

Pricing and Cost Advice

"Apache JMeter is far less expensive than HP Performance Center."

"The solution is open source."

"We are using the free version, and if required, we can easily switch to the other version."

"It is free."

"This is an open-source product."

"There are operational costs related to using Amazon Cloud, but the tool itself."

"It is open source. There are no licensing costs associated. If you need enterprise support, you'll probably end up paying for a license. You would also factor in the infrastructure cost, but that's not significant."

"This is an open-source solution, so there are no licensing costs involved."

More Apache JMeter pricing and cost advice

"The pricing of Appium is fine."

"This is an open source solution so it does not cost anything for licensing or otherwise."

"Appium is free and open-source."

"I'm unsure if there's any cost associated with Appium. I got the free package which includes the server GUI application and the inspector application, and it was free to download, and that's all I need to get my work done. I'm not aware of any additional costs associated with the tool."

"There is no license for this solution because it is open-source."

"Appium is open source; we can use it for free."

"The solution is free."

"It's completely 100% free, and there are no hidden fees."

More Appium pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

Retailer

Financial Services Firm

17%

Manufacturing Company

10%

Computer Software Company

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	24
Large Enterprise	56

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	6
Large Enterprise	19

Questions from the Community

How does Postman compare with Apache JMeter?

Postman lets you easily define variables, which then get updated automatically. This is a huge time-saver and makes processes very efficient. We can also export the test cases we create and share t...

How does BlazeMeter compare with Apache JMeter?

Blazemeter is a continuous testing platform that provides scriptless test automation. It unifies functional and performance testing, enabling users to monitor and test public and private APIs. We ...

What do you like most about Apache JMeter?

I appreciate JMeter's simplicity and power for performance testing.

Do you recommend Appium?

I do recommend Appium. It is an open-source solution and completely free of charge. We use Appium and Appium Studio as our base for any type of mobile automation for testing. It has a great interfa...

What is your experience regarding pricing and costs for Appium?

My experience with Appium from a pricing perspective is favorable due to it being open source, making it a cost-effective option.

What needs improvement with Appium?

The deployment process and configuration are quite complex and require improvement. Additionally, the wait time functionality could be enhanced as I experienced failures with longer wait times.

Tricentis NeoLoad vs Apache JMeter

Comparisons

Compared 13% of the time

BlazeMeter vs Apache JMeter

Compared 13% of the time

Postman Enterprise vs Apache JMeter

Compared 7% of the time

OpenText Professional Performance Engineering (LoadRunner Professional) vs Apache JMeter

Compared 5% of the time

SoapUI vs Apache JMeter

Compared 3% of the time

More Apache JMeter Competitors

Perfecto vs Appium

Compared 17% of the time

Katalon Studio vs Appium

Compared 11% of the time

Tricentis Tosca vs Appium

Compared 11% of the time

Qt Squish vs Appium

Compared 9% of the time

OpenText Functional Testing Lab for Mobile and Web vs Appium

Compared 6% of the time

More Appium Competitors

Product Reports

Apache JMeter

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Also Known As

JMeter

No data available

Overview

Apache JMeter is an open-source Java application that tests load and functional behavior and performance in applications. Created initially to test web applications, it has expanded its functionality to test other functions. For instance, you can test a server to see how efficiently it works and how many user requests can be handled simultaneously.

You can use JMeter to test functional performance and regression tests on different technologies. This Java desktop application has an easy-to-use graphical interface which uses the Swing graphical API. You can run JMeter on any environment that accepts a Java virtual machine, such as Windows, Linux, and Mac.

What protocols does JMeter support?

Web - HTTP, HTTPS
Web services - SOAP/XML-RPC
Email service - POP3, IMAP, SMTP
FTP service
Database via JDBC drivers
LDAP
Native commands or shell scripts
TCP
Java objects

How does JMeter work?

JMeter sends requests to a target server by simulating a group of user requests. Then it collects and calculates statistics on the performance of the target. This target can be a server or an application.

You can test the performance of static resources, such as JavaScript or HTML, and dynamic resources, such as JSP, Servlets, and AJAX. It is also helpful to determine how many concurrent users your website can handle.

There are two main tests you can carry out with JMeter: load test and stress test. The load test models expected usage of a server by simulating multiple users accessing the web server simultaneously. The stress testing aims to find the maximum load capacity of the server or application.

Apache JMeter Key Features

JMeter enables fast test plan recording, building, and debugging via a featured test IDE (integrated development environment).
Command-line mode allows carrying out load tests from any OS compatible with Java.
JMeter can extract data from most popular response formats, such as HTML, JSON, XML.
JMeter is entirely portable.
A multithreading framework allows you to simultaneously test multiple samplings and separate thread groups.
Thanks to the caching feature, you can conduct offline analysis or replay test results.

Apache JMeter Benefits

As open-source software, it is freely available and continuously improved.
The setup is user-friendly, and no installation is needed.
The GUI (graphic user interface) is intuitive and easy to use.
You can write your own tests and use the visualization plugins to extend the testing.
It is a platform-agnostic tool. For example, JMeter can work with Linux by clicking on the JMeter shell script. On Windows, you can call up JMeter by starting the jmeter.bat file.
Since the test plans are stored in XML format, you can generate a test plan using any text editor.
You can simulate a heavy load on a server, a group of servers, a network, or an object. Use JMeter to test an application or server's strength and performance under different load types.

The JMeter extensible core has numerous benefits:

Unlimited testing capabilities via pluggable samplers.
You can choose multiple load statistics with pluggable timers.
Visualization plugins and data analysis enable customization.
Continuous integration via third-party open-source libraries (Maven, Gradle, and Jenkins).

Reviews from Real Users

Stephen B., I.T. Architect, Analyst, and Developer at an educational organization, says, "The scripting ability is most valuable. It is easy to use. There is a UI, and you can go in there and figure those things out. After you've got a good set of tests, you basically have a scripted document that you can grab and execute in a pipeline. It is pretty quick to set up, and you can scale it and version control it."

"I like the fact that JMeter integrates well with other tools," adds the Founder and Principal Consultant at a tech services company.

A Quality Engineering Delivery Leader at a financial services firm says, “The performance of the solution is excellent. They have designed the product so that it is very easy to configure. You can basically do anything you like with the product. It's not very restrictive. We like the fact that the technology is open-source.”

Apache

Appium is an open-source mobile application development tool that is designed to give users complete control of their application development process. It enables them to optimize the development process when the need calls for it, and create the applications that they want in the most efficient manner they can.

Appium Benefits

Some of the benefits that come from using Appium include:

Ease of deployment. Appium is fairly simple for users to set up for the first time. Developers can download Appium and launch it with only a couple of clicks.

Easily track the results of application tests. Appium automatically creates reports when developers run application tests. These reports can give users insights into every aspect of the tests that they just ran. They can include detailed test results, screenshots of the test as it took place, and videos showing the test while it was in progress. Developers can also recall these reports with ease so that the information that was gathered is always at their disposal.

Gain deep insights into your application. Users can easily gain insight into the way that their application is running and how it might be improved. The reports that the system produces can provide developers with all of the data and insight that they need to improve their applications and make informed decisions.

Appium Features

When users choose to employ Appium’s mobile development solution, they gain access to many different capabilities. These features include:

Remote testing capability. Teams that are spread across the globe can collaborate and run tests from wherever they happen to be at the time. They can connect to Appium’s cloud testing feature and always have access to the latest iteration of the project they are working on.

Customizable test reporting capability. Appium enables users to customize the way that information from their tests is reported. They can create the kinds of reports that best reflect their objectives and needs. When specific information is needed, the reports can be formatted to show that particular aspect when the solution generates it.

Parallel testing capabilities. Developers who use Appium can run multiple application tests at the same time. This enables them to save time and resources while still accounting for every scenario that their applications might experience. Users can run all of the tests necessary to ensure that their applications are successful while spending the minimum amount of time doing so.

Reviews from Real Users

Appium is a solution that has a great deal to offer its users. It is a very complete mobile development solution that gives users the capabilities that they need to design their mobile applications with the greatest level of ease possible. Users can scale their application scripts to meet their needs. Additionally, developers can automate testing protocols, which reduces the amount of time and other resources that need to be devoted to the testing process. These two features make Appium a leader in the field of mobile application development.

Jayanta K., automation and nft manager at a computer software company, writes, “The interface for mobile automation is helpful for scripting and execution. It's scalable and there are many testers who would like to automate. In terms of scripting, scalability is very good.”

The head of solutions delivery (systems) at a wellness & fitness company writes, “Obviously, because of automation, it reduces manual testing efforts.”

Sample Customers

AOL, Orbitz, Innopath Software, PrepMe, Sapient, Corporate Express Australia, CSIRO, Ephibian, Talis, DATACOM, ALALOOP, eFusion, Panter, Sourcepole, University of Western Cape

Nuvizz, Coupa Software, Eventbrite, Evernote

Performance Testing Tools