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Akamai CloudTest vs Apache JMeter comparison

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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

Akamai CloudTest
Ranking in Performance Testing Tools
8th
Ranking in Load Testing Tools
7th
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Apache JMeter
Ranking in Performance Testing Tools
2nd
Ranking in Load Testing Tools
1st
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
97
Ranking in other categories
API Testing Tools (4th)
 

Mindshare comparison

As of September 2026, in the Performance Testing Tools category, the mindshare of Akamai CloudTest is 3.1%, up from 2.9% compared to the previous year. The mindshare of Apache JMeter is 8.9%, down from 16.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Performance Testing Tools Mindshare Distribution
ProductMindshare (%)
Apache JMeter8.9%
Akamai CloudTest3.1%
Other88.0%
Performance Testing Tools
 

Featured Reviews

Vinod Patil - PeerSpot reviewer
Senior Manager - Performance Architect at a computer software company with 10,001+ employees
Is user-friendly and offers live monitoring
Extending the same cloud tool to make it app native so that it can help with device performance testing towards HTTP requests and responses. If you can have a front-end tool like Google's Core Web Vitals, it would be great. If you have some integration with Google's Core Web Vitals, it would be great. I want the tool to have IP spoofing because whenever you do load testing, you will have a little bit of static IP based on a particular load generator. If we have an option of just making the real-time scenario, like having IP spoofing, and the range of IPs dynamically gets changed with the request just to mimic the real-time user behavior, then it would be a good improvement. Having integration to APM tools, like Dynatrace or AppDynamics, the way we have in the load tools, would be good.
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.

Quotes from Members

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

Pros

"The level of support is quite good and the integration is also very flexible."
"The tool is very user-friendly, so you can save a lot of time in terms of your preparation activities."
"The solution was easy to set-up and much more easy and intuitive to build performance tests."
"From my own experience, if you're talking about load testing and performance testing then definitely you should go for CloudTest. Because when we compared CloudTest with Performance Center, cost wise it was a better solution. It is easy to use as well, and you can definitely get an automation engineer or a performance engineer with very little exposure to any programming or scripting language such as JavaScript. I would definitely recommend this solution and would rate it at eight on a scale from one to ten."
"The solution is very stable."
"From my own experience, if you're talking about load testing and performance testing then definitely you should go for CloudTest."
"Akamai Cloud Test provides detailed analysis during load and performance testing which helps in determining different components of our platforms and external integrations with other vendors needs optimization (i.e.) it highlights exact API call with request, response, error, TTFB to identify root cause of failure which in turn helps in improving time to resolution and prioritize change requests."
"This is an awesome performance testing tool for web based applications, able to generate load multiple geographies, dynamic ramp-up to any levels of virtual users."
"The features that I appreciate are quite basic. It is easy to ramp up the threads and start calling the application. A lot of connectors can already be found within Apache JMeter, but we are not using the entire set because the integration between the customers and platform is based on HTTP. We are just going to produce lots of HTTP sequences."
"It's a free tool."
"It has helped us to build a robust application catering to the learning domain and identify bottlenecks prior to go live, helping us refine our deployment strategy and capacity planning."
"When there's a high number of TPS I can achieve more transactions per seconds given the hyper-limitations."
"They can easily view the results and gain valuable insights."
"Very user-friendly and easy to use."
"Apache JMeter is quite flexible and it is also well distributed."
"The initial setup is quite easy because this is just a compressed archive."
 

Cons

"One of the challenges with Soasta is availability and quick access to their technical support documentation and on-call support."
"If we have an option of just making the real-time scenario, like having IP spoofing, and the range of IPs dynamically gets changed with the request just to mimic the real-time user behavior, then it would be a good improvement."
"Out of five, I would rate the technical support of the solution at two or three. Sometimes it's a challenge because we face delays."
"Resource consumption also needs to be worked on. When we generate a thousand or two thousand concurrent users, we need to optimize the load generator resource utilization."
"I couldn't say, as I haven't used it outside the training or applied it to any project yet."
"Akamai cloud test integration into our current CI/CD pipelines (i.e.) identify and resolve the issues during the sprint phase which helps in delivering an absolute product and reduces time to market/release."
"The UI gets stuck sometimes; pulling huge load test data takes time and the UI often gets stuck."
"In terms of improvement, I think integration of these tools with the leading EPM tools would be good. It would help to seamlessly integrate to Dynatrace or AppDynamics to understand what the profiling looks like when generating a load."
"The reports in Apache JMeter could improve."
"RegEx Extractor needs improvement. It's a headache for many people."
"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."
"I think it has some proxy-based dependencies which require specific proxies to be set up or disabled, which causes problems when we are working in certain specific environments that have a proxy setup."
"In future releases, it would be helpful if there was an integration with ALM Octane."
"Improving JMeter's sync time would be beneficial."
"For UI automation, it is limited and therefore rates a one."
"Given that Apache JMeter is a free and open-source tool, documentation improvement may not be a major concern, as it is mostly contributed on a voluntary basis. The essential information is already available. However, in terms of the interface, there are occasional bugs, and the tool may not address them as quickly as some users would like. Fixing defects and bugs might take a considerable amount of time, with users sometimes having to wait for several months or even a year for the next release to address specific issues."
 

Pricing and Cost Advice

"We have a yearly license, and I would give it a rating of three out of five."
"The tool's price is at an intermediate level. When you compare it with other enterprise load testing tools, it falls under the average category."
"Running cost is very low."
"The product has reasonable pricing."
"Apache JMeter is a free, open-source solution."
"JMeter is open source, so there are no licensing costs associated with it."
"The tool is open-source."
"The solution is open source with no user fees or licenses."
"JMeter is open source and available free of charge."
"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."
"The solution is open source."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Construction Company
15%
Retailer
10%
Comms Service Provider
9%
Financial Services Firm
13%
Construction Company
9%
Outsourcing Company
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise23
Large Enterprise62
 

Questions from the Community

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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 is your experience regarding pricing and costs for Apache JMeter?
My experience with pricing, setup cost, and licensing is that the cost and license are free because Apache JMeter is open source.
 

Also Known As

SOASTA CloudTest
JMeter
 

Overview

 

Sample Customers

Chester Zoo
AOL, Orbitz, Innopath Software, PrepMe, Sapient, Corporate Express Australia, CSIRO, Ephibian, Talis, DATACOM, ALALOOP, eFusion, Panter, Sourcepole, University of Western Cape
Find out what your peers are saying about Akamai CloudTest vs. Apache JMeter and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.