Apache JMeter Reviews

My clients are using it for BI reporting dashboards and executing dashboards. It's basically a reporting tool.

There are many features I like in Apache JMeter. First, it's open source, so I like that about the product. And there's a lot of community support for it.

There are some challenges in terms of recognizing the objects in some critical cases. These are object identifiers because Apache JMeter cannot recognize those dynamic objects.

I have been working with Apache JMeter for 12 years. It has been a long time. 

It is a stable solution. I would rate it a nine out of ten. 

It is an evolving product. It is a scalable tool. I would rate it an eight out of ten. We have medium-sized clients.

Most of the time, we get the solution from the open-source community. However, I have never interacted with Apache's customer support. 

The initial setup is very easy. We always use the latest version. It doesn't take much time to deploy the solution. 

It's a matter of hours to run a full test. However, it may take some time if you need to configure a project and create the skill to run it. Debugging can also be time-consuming. To set up an end-to-end process, it may take several days.

One or two people would be enough for the deployment. Someone from the infrastructure team can provide support in case of port issues, connectivity, or technical challenges. 

I have a different technology stack, such as BI tools like Tableau, Microsoft Strategy, and custom data applications. In some cases, I feel that Apache JMeter is not suitable. So, I am looking out for a different tool.

One tool cannot fit into all kinds of applications and business use cases. But by and large, it can cater to many applications. Overall, I would rate the solution a nine out of ten. 

I've been using JMeter mainly for performance testing and some repair testing as well.

The solution is open source, so we don't have to pay for anything. That is a good thing since we can save the licensing costs, et cetera, as an organization. If you go for an expensive tool like LoadRunner or even Loyalty or Locust, you'll have to spend from your budget. JMeter has everything we need without the cost.

It's a powerful tool that is open source. There are various functionalities that can be used in various combinations. You can use Jmeter for automation, like getting some APIs. You can use JMeter for the performance testing. You can add listeners. You can look at the results and can generate a load with JMeter. The beauty of JMeter is there is a lot of support from the communities online who have worked on JMeter and can give first-hand advice. Most of our queries are already answered by someone, so we get the benefit of learning from them. 

It's a good tool for automated performance testing and some behavioral things.

It has a lot of customizable features. There are a lot of open libraries that you can download, and each time when you go for a new requirement, you will get new libraries. 

The setup is pretty easy.

The only thing is the learning curve. It's high.

We'd like to see more third-party integrations that can be handled quickly.

Support-wise, while the community is strong, it would be nice to have the option to reach out directly to JMeter. 

For performance testing, you need to correlate, et cetera, so we have to do it manually in order to get the right to regular expressions.

I've been using the solution for five years. 

As an open-source tool, when changes happen, it may be a bit unstable. This is occasional, and for the most part, it is fine. I'd rate it seven out of ten in terms of stability. 

The solution is scalable. I'd rate it ten out of ten.

While there isn't any traditional support, there is a very strong community around the solution. There are so many people using it and contributing to solving problems, you can easily find answers to your queries online.

The solution is straightforward to set up. I'd rate it five out of ten. There is a bit of a learning curve at first, however, once you start using it and taking advantage of its capabilities, I'd rate it nine out of ten. 

In the areas where we do some prototyping and also some areas where we want to save money and not focus on the revenue, we use JMeter. It's a very powerful tool. 

This is an open-source solution and is, therefore, free to use. 

I'm a customer and end-user.

I'm not sure which version of the solution I'm using. It's not the latest, however. It may be about one year old. 

You can deploy both on-premises and on the cloud. 

Once you go ahead and implement JMeter and you learn the process, it's a great tool. It could be a great asset for any organization as it is a highly customizable tool. If you can handle the learning curve, it will be worth it. Plus, as an open-source tool, you can save a lot of money on licensing. 

I'd rate the solution eight out of ten. 

We use this solution to load test functional behavior, and measure performance.

We really appreciate that the solution comes with a live community, which continuously provided plugins and support protocols.

We would like some reporting and analysis tools to be added to this solution.

We would also like the manual available for this solution to allow for better usability; it can be quite complex for new users, and the product is not always very intuitive. 

We have been working with this solution for 12 years.

We have found this solution to be a stable and reliable tool.

This solution is easily scalable, you can distribute the larger generation among several machines in the LAN, or you can use the cloud variation of the product.

This solution doesn't come with technical support, but there is plug-in wide community support, where organizations can ask questions about issues they are experiencing.

This solution isn't actually deployed, it is a zip file, which is extracted. It can also be deployed via public cloud, if an organization chooses the cloud-based model.

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

We would recommend that organizations considering this solution invest time in research of the product before implementing it. There are a lot of online resources that can assist with this, so the business can check if the solution will meet their requirements.

I would rate this solution an eight out of ten.

We primarily use the solution for performance and delivery testing.

It's a free tool. It's a very common tool. There's a lot of support in the community for this. It mainly supports web API testing.

The UI could be better. It can have some Reach UI also, which would be helpful, and maybe a relatively simpler way of using it. It needs simple modules. There are quite a lot of things which are kind of abandoned, so they can definitely improve on it.

Integration with some of the other features should be managed. However, it's open source, so there is not much to complain about there.

It's an open-source tool; we cannot ask for additional features really.

The product could use some kind of filtering and monitoring and different degree of dashboards and analysis. If that can be provided, that would be very, very helpful.

I’ve used the solution since 2009.

The solution is relatively stable. There are no bugs or glitches, and it doesn’t crash o freeze. It’s reliable.

It can scale. However, what others say about scalability is that you need to have some proper calculations to be done first.

We have dealt with support. Technical support is found in more technical forums. It’s open-source, and communes are where you go for information. We have received good responses when we have inquiries. There are quite a lot of forums in general available.

Now, as we have grown as an organization or as a team, there are still questions such as, "What are the limitations of this tool?" And we put that to JMeter so we can learn what is best for the maintenance.

The installation can be a bit complex. There are quite a lot of things and issues if you go deep into it and if you're setting up JMeter. For example, direct script captioning is slightly different. It's a bit more complex, the correlation parametrization. Setting up the workload model can be complex as it is based on a Java service mechanism.

It becomes a bit challenging to manage. If I want to put a 50,000 user load, I have to be very careful how the memory is utilized. I must be very aware of the underlying system's capability to execute this. I have to make it into multiple nodes and run them in parallel. There are some calculations, and there are some good power processes that will be required when you are using JMeter. You need to understand its limitations and load work them on.

The solution doesn’t really need maintenance. They're open-source tools, so we don't expect any maintenance. What we typically do is we pick up a particular version and understand the limitations of it. We then play within those limitations.

We handled the initial setup in-house. I handled the setup myself.

The solution is free to use.

We may be using the latest version. I don’t know the exact version number.

It is on-prem. However, we can put it on the cloud as well. We install it on any machine, so it can be a local or cloud-based machine.

I’d recommend JMeter. One critical piece of advice is to plan properly. For JMeter, planning and having an understanding of the limitations are important. If you play within those limitations, it is a really great tool. There are trade rules that apply to a lot of things that we use. However, there's plenty of material available so far. Whoever is doing it, can plan it accordingly. They can create those tests, and execute those tests. That said, at the same time, be aware of the scalability of the JMeter. For example, a single JMeter line, which is running, can take 1,000 to 2,000 threats, not more than that. Again, it depends on the available hardware. If you want to scale to, say, one million or something, different parts of planning are needed.

I’d rate the solution eight out of ten.

We have a couple of applications in banking.

It's an open-source tool, Apache JMeter. 

It's easy to customize. Customization depends on the requirements, however. It provides an enormous amount of plugins. Based on the customer requirements, we can customize our code and we can go out and execute the test. JMeter integrates well with Jenkins. The cloud offers CI/CD activity. 

The solution is scalable.

The stability is good. 

Its initial setup is very easy.

There is good documentation available. 

Until now, JMeter is not supporting most of the protocols. It's widely using web HTTP and a few other protocols as well, however, it's not supporting the SAP or Citrix ones. Protocol-wise, the JMeter needs to improve.

Recently, there was a Log4j error. They have since mitigated that, in JMeter, for the free version. The security concern was handled quite well compared to the previous versions.

I've been dealing with the solution for more than five years.

The solution has been stable. There are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

It's scalable. We have very good load balancing or load distribution. It will be very easy for us to add multiple machines and make whatever we need. However much we want, we can scale.

It is very easy to set up. It's not overly complex or difficult. 

The solution does offer a free version. 

I'd rate the solution eight out of ten.

Apache JMeter is quite flexible and it is also well distributed. It is quite flexible compared to Micro Focus LoadRunner.

JMeter is easy to script. There is less of a problem with doing correlations and parameterization. 

It is not something that can be compared with Micro Focus LoadRunner. It gives the facility too easily; you do things through UI. With JMeter, you really do not have any easy UI to work as, like a Micro Focus LoadRunner.

The stability could be a bit better.

Compared to LoadRunner, it hasn't any proper UI. Recording the script is also not flexible in JMeter. In LoadRunner, we have a couple of options, such as URL-based recording and HTML-based recording. In JMeter, it's not like that. JMeter has a recorder, however, it is not easy to use. It is a bit tricky to configure the automatic recording in JMeter. 

I've been using the solution for four or five years. 

JMeter, stability-wise, is good, however, it is being developed by the community. Therefore, stability is always an open question there.

The solution can scale a bit. It is scalable, however, not like LoadRunner. I have not tested it as such yet. I'm not sure about how fully scalable it is. 

I'm also familiar with Micro Focus LoadRunner.

The implementation process is not so easy. It's difficult to configure.

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

I'm an end-user and a customer. 

I've used JMeter in conjunction with Selenium, Java, and Log4j for logging. I used it before
I ended that contract in August. Its version was up to date at that time.

It was used for an e-commerce site that is specialized in C-PAP or weaving machines in effect. Their max was a thousand people logged in at once. I, of course, pushed the boundaries on that, but it was to test the performance of the website, and of course, I'm had to try subsystems, database interactions, etc.

I'm a total geek, so I liked the fact that I got to program. The biggest thing I liked about it is that there is a huge user base out there, and being shareware and being Apache, if I have any question on how to get something done, I get 18 different answers. Out of those, there would be at least a few good approaches for what I was trying to do. So, the support system out there is most valuable.

I sometimes found the documentation to be not as explanatory as I would've liked it. In the cases that I can think of, I was looking for a rather hand-holding approach with Step A, B, and C, but then I realized that with a product that is open source like this, you can't do handholding. That is because there are so many different uses and different unique environments and setups for it, but I remember thinking a few times that if they only just said this.

If I were going to be Mr. Selfish and say anything I want, I'd say a full feature GUI that lets me drag and drop different modules in line. It could have a simple-to-use GUI.

I have been using this solution for probably a year and a half.

I didn't have any issues with the stability of JMeter itself. There were definitely issues with the program I was testing, but that's why I was testing it.

It was very easy to scale, but I was barely scratching the surface. I have spent 17 years at Microsoft, and for the performance testing that we did there, we had 8.3 million users at once, as opposed to a maximum of a thousand. If I'm scaling, I have to do it quite straightforward and simple, but it was very minimal.

Only I was using it. It was the QA department. I showed it to some of the devs, and they were very interested. A couple of them tried it, but none were actually using it day-to-day for testing out the environment.

I would rate them an eight out of 10 because sometimes, they would take two or three days to get back to me. Of course, at that point, you're like, "I need the answer; I need to answer." So, it was a little bit unrealistic in terms of expectations.

At that particular company, I was the one who was tasked with coming up with the solution, so that was the only one that I looked at simply because JMeter is industry standard, but at Microsoft, they wrote their own custom tools, so I used custom Microsoft tools.

It was rather complex. It is a complex product, but that part of it was very well-documented. I didn't have any problems with it.

Don't be shy in asking questions. Google/Bing is your friend. It is complicated. There's no reason to spend eight hours trying to figure out something, except unless you are trying to learn in-depth. There are a lot of people who've done exactly what you're trying to do, and it doesn't matter what it is.

I would rate it a 10 out of 10 because it is industry standard. It did everything I could've asked. I barely scratched the surface, but what I needed it for, it did well and in a very straightforward-to-implement way.

We use Apache JMeter for load testing, where we provide the throughput time. Apache JMeter allows me to give any number of users to put the load in a particular time frame. With Apache JMeter, we won't need multiple tools with the application or to give a load for the application.

Apache JMeter's UI can be made more colorful.

I have been using Apache JMeter for two years.

I rate Apache JMeter ten out of ten for stability.

Around 10 people are using the solution in my team.

I rate Apache JMeter a nine out of ten for scalability.

Apache JMeter's initial setup is easy.

Apache JMeter's deployment takes half an hour to one hour.

Apache JMeter is a free, open-source solution.

I recommend users explore each and every functionality of Apache JMeter.

Overall, I rate Apache JMeter a nine out of ten.