Apache JMeter Reviews

We mainly use this product for load and endurance testing.

This solution is very user-friendly, and allows for a lot of data capture when testing.  

We also found that the test scripts that the system automatically generates are extremely well created.

We would like more documentation to be provided for the advanced level features that are available in this solution, in order to improve development.

We have been using this solution for two to three years.

We have found this solution to be very stable overall.

We believe this to be a scalable solution, although we have not made any amendments in user numbers to date.

The initial setup of this solution was very simple; the product is open-source, so only requires a download in order for the implementation to be executed.

We implemented this solution using our in-house team.

This is an open-source solution, so there is no requirement for licenses.

We would recommend that any organization using this solution for test script development, may also want to look for a complementary product to handle script exhibition.

I would rate this solution a seven out of ten.

Public Cloud

We are using Apache JMeter for automation and for processing activities of our clients. Additionally, it is used for testing.

The most valuable feature of Apache JMeter is its popularity. It is the best open-source tool with all the features needed.

The reports in Apache JMeter could improve.

I have been using Apache JMeter for approximately one and a half years.

The stability of Apache JMeter is good.

Apache JMeter is scalable.

We have less than five people using this solution in my organization.

There is a lot of support available that is good, such as in forums. However, they do not have a dedicated team that you can contact.

I have not used a solution previously.

Apache JMeter was straightforward to install.

The price of Apache JMeter is good. The selling rate is quite effective and the limited users with a multi-region-related execution.

My advice to others is to go through some basic video processes, which are available on YouTube and Apache JMeter site, it has a lot of documentation that will help you get prepared and used to the tool.

I rate Apache JMeter a seven out of ten.

Public Cloud

Amazon Web Services (AWS)

Regardless of, whether it is used for personal performance, load, volume, UI test, or functional test Apache JMeter is the best tool on the market.

It is cost-effective and simple to use.

Take, for example, a performance test with, the Micro Focus performance test tool, and compare it to Apache JMeter. Apache JMeter is far less expensive than HP Performance Center.

When you run tests with JMeter, it generates test version five, which is extremely large. Also, when you have a large number of tests to run, it requires a large size or memory size, which basically means it consumes a lot of memory. It would be helpful to come up with a way to be able to use Apache JMeter in a way where it did not use as much memory. It will be much easier, and beneficial for the individual to run it on their own machines rather than having a high-end infrastructure, more CPUs, or more memory that has been consumed by Apache JMeter.

I have been working with Apache JMeter for two years now.

I am working with the latest version.

It's on digital platforms rather than the cloud.

I am absolutely satisfied with the stability of Apache JMeter.

Apache JMeter is a scalable product. We are pleased with the scalability of this solution.

When we have encountered difficulties and reached out to technical support, they respond very quickly and most of the things are readily available with them, for all of the challenges or support that are required. If I had to rate them from one to ten, I would rate the technical support an eight out of ten.

Positive

It is very easy to set up. There have been no issues, it's hassle-free, and it doesn't require a lot of expertise or specialization to configure and set up JMeter. 

It is very straightforward and very easy. That is something that anyone can do.

Our team completed the deployment. It only requires one person and takes no more than two to four hours.

In terms of maintenance, we only require one person.

When you compare it to HP because prior to using this Apache JMeter, we used this HP Performance Center, and in terms of ROI, while I don't have exact figures, when it comes to HP Performance Center, we have nearly five times more. You can say that it's five times less of an investment and five times written on the investment by using Apache JMeter. With Apache JMeter, you receive five times more. It's higher.

It's a yearly license.

I would rate Apache JMeter an eight out of ten.

On-premises

We use Apache JMeter for the load generation scripts for performance testing.

The thread groups, samplers, and listeners, which are all determined by the script's requirements, are the most valuable features of this solution.

We use many plugins to customize our scripts, which is its main purpose. We wanted to be able to use a larger variety of customizable plugins to meet our needs. Along with our, JMeter, you would use a variety of plugins.

The number of customization plugins should be increased.

There could be improvements in terms of memory utilization. We are going to migrate away from JMeter in the near future.

The data storage should be improved.

Scalability could be improved.

It should support more protocols.

I have been working with Apache JMeter for three or four years.

We use version 5.0

We are using the cluster mode because one node is definitely not enough. Scalability can be improved.

When compared with other solutions, it's not as good, which is the reason we are moving to another solution.

Scalability must improve.

Generally, we use open forums, to resolve any issues we may have.

I also work with BlazeMeter.

I worked with Apache JMeter, from the beginning.

The initial setup is straightforward.

We have a small team to maintain this solution.

We completed the installation on our own. It was completed in-house.

Apache JMeter is an open-source solution.

We don't use the paid version of this solution.

Everything is included, and there are no additional costs.

I would suggest that instead of using a GUI-based implementation, try to make it code-based. Try to replicate the configuration. The plug should be job-ready, and ready to be integrated as well. Rather than having a UI, and limitations.

Three or four years ago, I would have given it a seven or eight, but now that there are more powerful competitors, I would give Apache JMeter a five out of ten.

I mainly use JMeter to capture the traffic of the most-visited page to see how much load a particular page is getting and how many users are using that page for a particular amount of time. I've also used it to capture APIs for particular pages.

The most valuable features are the ability to capture the entire traffic of particular pages and the proper readability of entire pages and entire APIs.

One of the drawbacks of JMeter is that it can't handle a large amount of load, which forces us to switch to other tools when we need to load more than a 5,000 or 10,000 user load. In the next release, I would like JMeter to be more compatible with other languages in the market.

I've been using JMeter for six to eight months.

JMeter can't be used in the long run, so I'd rate its stability as five out of ten.

I would rate JMeter's scalability as seven out of ten.

Apache's technical support is pretty good, I've had no issues with them.

The initial setup was straightforward and took about five to six months.

I used an in-house team.

JMeter is open source, so there are no licensing costs associated with it.

I evaluated SoapUI, Postman, and Visual Studio. JMeter was more reliable compared to these options.

I would definitely recommend JMeter in terms of usability. If you're using AngularJS as a language for testing UIs, JMeter might not be a good idea. I'd rate this solution as six out of ten.

On-premises

We are in the service industry. We implement it for our customers. We recommend the right tool and set it up for them. So, I've not had any hands-on experience in my current role, but I have a good understanding or a fair idea of the tool's capabilities. I have a team that takes care of the technical aspects.

It is an open-source solution. So, typically when you don't want to make a heavy investment, and you want to do some level of performance testing, Apache JMeter is used. 

It is typically on-premises, and it has also been on the public cloud. It could be Azure, or it could be AWS. It is very rarely on GCP.

It helps them to look into several parameters. For example, when you have certified test cases that are predominantly repeated on an application, you can execute the same thing with increased load. You can see how the application responds and if there is an impact on the response time of the application. You can confine it to certain parameter conditions and then start making changes to see how it performs. You can see where the RAM or CPUs are stagnant and not increased.

The metrics part of it and the ability to write your custom code to do some specific tests in the performance testing space are the most valuable features.

It is easy to use. If you want to test your application out and not incur a lot of costs, it is probably the best tool.

Its reporting could be improved. There should be a better visual representation. That would be helpful for easy consumption of the reports.

I have been using it for about four to five years.

JMeter is probably good for lower loads. It is not comparable to LoadRunner when it comes to higher loads.

It probably scales up to a few thousand users but not beyond that.

Because it is an open-source community, their support is probably average. It won't be like the support for a commercial product. I would rate it a six out of ten.

LoadRunner is one of the prominent tools. It was formerly HP, and now it is Micro Focus. It has good capabilities and features. It also has decent reporting capabilities. Because of the brand and the capability, it was probably chosen by most of the Fortune 500 clients that we work with. There are also some startup communities or organizations that ventured into other solutions, such as JMeter.

In terms of comparison, primarily, there are three to four parameters. The first one is the ease of use. The second one is about the protocols that need to be tested, whether it's web or API, HTTP, HTTPS, and all the native things. The third one is in terms of flexibility in setting it up and executing, and the fourth one is in terms of monitoring the execution and reporting pieces. Those are the key parameters for pros and cons. LoadRunner gives you a lot more capability and flexibility, but at the same time, it also consumes a lot of resources. JMeter is relatively simpler, cheaper, and easier to use.

I don't have hands-on experience with it, but based on what I have heard from people, it's pretty straightforward in terms of the setup. 

The setup probably takes a week or two, and then the execution is probably a three to four weeks exercise.

We are in the services business. Clients give us access, and we set it up there.

It is certainly good for testing out the applications for performance testing, especially when you have to test them out frequently and make sure that they are good for at least a few thousand users. It has a decent ROI.

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.

I would rate it a seven out of ten. It is a decent choice from a small-scale perspective, but reporting could be better. If you want to get some performance testing done without spending money, JMeter is probably the best tool. It doesn't have the best reporting, but it is quite a handy tool.

We primarily use the solution for testing. We have three types of testing. One is the APA testing, and the web, and one is mobile. All have been recorded through this protocol.

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

We're using all of the lightweight technology with the AngularJS and Springboard applications, all the EPAs only. We use these CTP samples for all the web, as well as the EPAs. 

The initial setup is pretty straightforward.

The product is easier to learn than paid tools. You can find training online on YouTube, or you can Google it to find out more about the solution and how to use it.

The JMeter community has developed a lot of IoT protocols. 

We're like the solution to be more user-friendly. 

As freeware, not everything is readily available. You can't play around with everything. That's just due to the fact that it's not a paid tool. When you pay for tools, you get a bit more. 

Not everything is supported by JMeter. It's limited.

With JMeter, with banking encryption, we have struggled a lot. It's not as good as other paid tools that provide support and configuration capabilities that JMeter lacks. 

The solution doesn't really have good documentation, and, if you run into issues you can't simply raise a ticket. There's no help available to you.

There are certain protocols that you can get on other solutions, such as LoadRunner, that you can't get on JMeter.

The stability is pretty good. You can execute any kind of tech with JMeter as well. It's an open-source community. There are a number of samples are available. You can achieve it in different ways, however, the stability is quite good. That said, we have experienced glitches. 

Scalability is possible. You need to have the load generator for the scaling of your application. It's very simple to procure the load generator. You will have to install the JMeter agent file, where it'll be connecting to the monitor. It will not be as simple as a paid tool. For example, with BlazeMeter, they provide scaling with the cloud. BlazeMeter supports the JMeter items. If you have thousands of users, you will need the cloud and you'll need something like BlazeMeter. 

Currently, as this is a banking application, we don't have that many users. However, I've tried it with the 5000 users with the five to six load generators in the cloud. If we want to really scale, however, it's best to go with BlazeMeter.

As an open-source tool, support is not available for JMeter.

We also use NeoLoad. JMeter is open-source. It suggests you need to install that and you can make the cloud as a distributor system. NeoLoad is paid. We have some licenses and discounts. We cannot use NeoLoad due to the licenses. That's why we moved the solution to JMeter which is free and open-source.

The initial implementation is very simple. Initially, when setting up JMeter, you have to follow the proper documentation. It's very simple, however, if you do make some mistakes, you'll not be able to set up the distributed system. You need to have a little bit of networking knowledge so that all the systems should be in the same network and subnet. Connectivity should be established. It can be very difficult to execute. If you try to do everything all at once. I had some experience and I did it in the parts. It's very simple for me.

I handled the implementation myself. 

The solution is open-source and free to use.

So long as you don't have to scale too much, it's very cost-effective. If you do have to scale your users, it's best to move over to BlazeMeter, which is reasonably priced, user-friendly, and works well.

I would not recommend this solution for machine-critical applications such as banking or telecom applications. For those, we would go for paid tools. That way, if there are any technical issues or technical breaches with the tool, with the application we are supporting, we can call on support for troubleshooting. With JMeter, we don't have this option. It is good, however, for non-critical applications. In telecom or banking applications, they need to have critical releases and patches, and issues have a high likelihood of leading to a loss of business. We don't want to take chances. However, for non-critical items, JMeter is fine.

I'd recommend the solution to other users so long as they keep in mind JMeter's capabilities are limited. The upside is it is free to use, however, there's also a limit, to some extent, on how you can use it. IF you have a small-scale organization and a small number of users, JMeter will work well.

I'd rate the solution at a seven out of ten.

Private Cloud

We use Apache  JMeter for API testing. Our latest task combines test cases with our CI/CD pipeline for deployment to Kubernetes. Tests are developed locally and automated for the build using standard Unit and Integration testing techniques. Once deployment is successful to Kubernetes, we develop the JMeter tests for automation in promotion scenarios. Thereafter, once a deployment is successful, we can automate promotion to the next level based on test success.

Test automation moves our organization close to rapidly deploying products. Unit and Integration testing is easy to automate, and most organizations perform these as part of their day-to-day operations. However, end-to-end testing, smoke testing, load testing, and performance testing are much harder to automate. Apache JMeter has aided in that challenge.

While there is a User Interface, the scripting ability is highly beneficial and is easy to use. Tests can be added to a CI/CD Pipeline for integration with testing and deployment scenarios once finalized and operational.

This is a difficult question to answer. On one side, JMeter is very flexible and allows for a high amount of customization. On the other, some tasks are common enough that it merits simplifying the process.

Authentication for API testing could use improvement. Currently, it is a multi-step process to call, extract, and utilize a bearer token securely for API calls. This process is becoming a common enough task that a "wizard" for creating and consuming popular authentication models is merited.

I have been using this solution for about six years.

Apache JMeter is stable, and I personally have not encountered any issues. Depending on the size of test runs, one might need to adjust their JAVA settings to align with the test requirements.

Its scalability works. It is a typically Java run. Therefore, it is limited only by what you can do in Java in terms of scalability.

Developers write tests, verify tests, and maintain tests using version control. They identify and tag each to ensure they are appropriately labeled for test purposes (E.g., unit testing, integration testing, performance testing, and the like). Unit and Integration test coverage is normally high. However, we require testing from outside of the system, and JMeter allows us to create tests automating this process.

Apache JMeter utilizes community support. It is well-documented and has an active community. As far as I know, there is not a "pay-for-support" option.

I have used Postman in collaboration with other developers. However, I prefer Jmeter only out of personal familiarity and not for any technical deficiencies of Postman.

Apache JMeter setup is easy. However, there is a medium-to-heavy learning curve for developing tests and getting started using it for practical uses. Depending on its intended uses, there could be a significant configuration task for a given set of tests.

Apache JMeter is under Apache License, Version 2.0 licensing. Understanding licensing requirements is important for the implementation of any tool.

Understand the use case. Choosing the correct tool for any task is always a challenge. Jmeter offers a significant amount of flexibility and will work for a lot of solutions. Jmeter requires a commitment to learning for optimal operation; without that investment, tests may not yield the appropriate outcomes.

Public Cloud

Amazon Web Services (AWS)