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Apache JMeter vs k6 Open Source comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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
Ranking in Load Testing Tools
1st
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
96
Ranking in other categories
Performance Testing Tools (1st), API Testing Tools (2nd)
k6 Open Source
Ranking in Load Testing Tools
7th
Average Rating
7.6
Reviews Sentiment
7.9
Number of Reviews
2
Ranking in other categories
Regression Testing Tools (9th)
 

Mindshare comparison

As of January 2026, in the Load Testing Tools category, the mindshare of Apache JMeter is 12.2%, down from 23.3% compared to the previous year. The mindshare of k6 Open Source is 4.5%, up from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Load Testing Tools Market Share Distribution
ProductMarket Share (%)
Apache JMeter12.2%
k6 Open Source4.5%
Other83.3%
Load Testing Tools
 

Featured Reviews

RR
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.
ArtemCheremisin - PeerSpot reviewer
Performance Test Engineer at BETBY
Lighter on the RAM and has native Grafana support
The tool's big advantage is that it is more performance-test oriented for experienced testers who know what they are doing. In a normal working setup, performance engineers frequently work with DevOps and development teams. For these teams, k6 Open Source's syntax is much simpler and easier to understand and apply in the working process. Recently, I had a case where I was using another tool, and there wasn't enough memory for it because it required more RAM. k6 Open Source, on the other hand, is lighter and doesn't have a UI, which is beneficial. An engineer I was training could use k6 Open Source scripts even without my help. The tool is more efficient and has native support with Grafana, as both are developed by the same company. This integration enhances monitoring and loss ratio tracking. Thanks to its intelligent GUI, k6 Open Source's design is simpler, particularly for complex scenarios. When we need to manage hundreds of thousands or millions of transactions per minute, the solution becomes a game-changer compared to JMeter.

Quotes from Members

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

Pros

"JMeter's most valuable feature is the RegEx Extractor."
"It's stable and reliable."
"The distributed load testing is very good with Apache JMeter."
"It's a powerful tool that is open source."
"Apache JMeter helps my testing analysis by providing precise reports; the HTML format report gives me the exact transactions, response times, and graphs that show average response times, as well as throughput per second."
"Apache JMeter is completely free as it is open-source, providing cost-effective customization options."
"JMeter can be integrated with most open-source platforms like Grafana, Prometheus, or even with custom-made tools by extending it and integrating from GitHub."
"We appreciate that the solution is free to use, as an open-source tool."
"The tool's big advantage is that it is more performance-test oriented for experienced testers who know what they are doing. In a normal working setup, performance engineers frequently work with DevOps and development teams. For these teams, k6 Open Source's syntax is much simpler and easier to understand and apply in the working process."
"The standout feature of k6 is its strong focus on API performance testing."
 

Cons

"Its reporting could be improved. There should be a better visual representation. That would be helpful for easy consumption of the reports."
"The initial setup is complex and needs to be upgraded."
"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."
"Running JMeter in GUI mode uses a lot of memory, which means we need to switch to a non-GUI mode when using a heavy load."
"To improve Apache JMeter, reducing the complexity of load generators and distribution testing would be beneficial."
"Some features still require a certain knowledge level to use effectively, and making these features more user-friendly would be beneficial."
"In this tool, automation in general is almost non-existent. Everything is done manually."
"One area for improvement is the ability to decrease load suddenly during tests. Currently, we need to use multiple separate JMeter instances to simulate reductions in load, which isn't ideal."
"One area where k6 could improve is by introducing a GUI similar to JMeter."
 

Pricing and Cost Advice

"Apache JMeter is an open-source solution, so it's free to use."
"I haven't looked into it. Most of our projects are nonprofit or grant-based. Everything is public commons, so we don't really have to worry about that so much."
"We are using the free version."
"The product has reasonable pricing."
"This is an open-source solution, so there are no licensing costs associated with it."
"Since we are using an outsourced solution, it is not paid for by our company."
"The price of Apache JMeter is good. The selling rate is quite effective and the limited users with a multi-region-related execution."
"Since it's free, there's no need for extensive support or improvements in pricing."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
8%
Retailer
6%
Computer Software Company
15%
Financial Services Firm
10%
Media Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise24
Large Enterprise56
No data available
 

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.
 

Also Known As

JMeter
Load Impact
 

Overview

 

Sample Customers

AOL, Orbitz, Innopath Software, PrepMe, Sapient, Corporate Express Australia, CSIRO, Ephibian, Talis, DATACOM, ALALOOP, eFusion, Panter, Sourcepole, University of Western Cape
rackspace, salesforce.com, IBM, servicenow, Nasdaq, JWT
Find out what your peers are saying about Apache JMeter vs. k6 Open Source and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.