Apache JMeter Reviews

I use the solution in our organization for load testing.

The solution's automation capabilities are one of the best parts of the solution. Due to process automation, I don't have to prepare reports, making it the perfect solution. Whenever I require a report, the report gets generated by the solution, and then afterwards, I can look at the reports before copying and pasting them.

At times when we overload the application, it gets stuck. Especially with load testing, it gets stuck when we deal with huge numbers of 100 to 1,000-10,000 or 2,000 to 20,000. I believe that we should be able to hit around a million people without any issues. After the solution gets stuck due to overloading, we have to restart our computers. In short, the solution keeps crashing.

Apache JMeter is a simple solution, and I have been using it for seven years. Also, I am using the solution's latest version.

After an update in the application, the stability gets hampered if we continue to use its non-updated version, causing the solution to crash. So, once I faced that problem since I was not updating the application, it crashed. Back then, I wasn't aware that an update was available for the solution, which I had to apply to the solution. So, for two or three days, I tried to solve the issue with the solution. Later, I found that I just needed to update the application. So, after I updated the application, it started working fine. I rate the solution's stability a seven out of ten.

Since Apache JMeter is a scalable product, I rate the solution a ten out of ten. I am the only person using the solution in my organization.

Since I have experience with the solution's customer support team, I rate the technical support of the solution an eight out of ten.

Positive

On a scale of one to ten, where one is difficult, and ten is easy, I rate the solution's initial setup a ten out of ten.

The solution's deployment process took only a couple of hours. I believe it took me around an hour or so at the beginning during the initial setup phase. Right now, I can deploy the solution in fifteen to twenty minutes.

Maintenance for the application is only required when the application crashes due to its overuse.

Since we are using an outsourced solution, it is not paid for by our company.

My words to those planning to use the solution is that if the crashing issues in the solution get resolved, it is one of the perfect solutions in the market. Also, I have not used the paid version, so I have no idea how it works. It's a very resourceful solution.

I need to use the paid version to be able to comment on it. Since we are using the free version in a company, even if the solution makes any mistakes, we ignore those and go ahead.

Overall, I rate the solution a ten out of ten.

Our primary use case for the solution is comprehensive performance testing. It measures how our applications are doing overall with a lot of users. For example, if we want to simulate 100 users doing transactions simultaneously, we want to see if our app handles it well and how fast it responds. In addition, we can utilize the solution to identify time spent on operations.

We find the ease of use and the reports and graphs available valuable.

The solution needs more metrics for reporting.

We have been using the solution for two years.

The solution is stable, and we have not had any issues.

The solution is scalable, but I cannot comment on the extent of its scalability because we have yet to scale widely.

We have not had experience with customer service and support.

The initial setup is straightforward.

We use the tool as an open-source tool, so we do not pay for it.

We chose this solution because of its affordable cost, ease of use, and popularity.

I rate the solution a nine out of ten. I advise users considering this solution to take a course to get familiar with it quickly.

The most valuable feature of this solution is being able to launch many requests and scheduling simulating human interactions with the application. There are some other plugins for monitoring and collecting data for JMeter but we don't use them. 

If JMeter could integrate with the EPM solution, it would be great. It could also be improved by offering more integrations for security. For example, most applications are secure with OpenID Connect protocols.

I have been using this solution for more than 10 years.

This is a stable solution. 

We previously used Katalon. 

The initial setup is straightforward. 

I would rate this solution an eight out of ten. 

We use JMeter for performance testing. Our testing team has 50 to 60 people.

JMeter lets us generate virtual users and T-load, per our requirements. It's easy to configure and adjusting the virtual users according to the DPS we want to achieve.

It should be easier to combine multiple scripts. If you have multiple scripts, you need to write a new script to combine those scripts. The virtual user generator is slow.

We've been using JMeter for six months.

With an on-premises deployment, we run into some performance problems when we have a high load. It's not that stable if we increase the scripts or the load. But that could be something in our environment.

JMeter is an on-premise solution, so it has limited scalability. We are looking for a cloud-based solution that is scalable and elastic. 

I rate JMeter six out of 10.

My main use case of JMeter is for web application performance testing as well as for API performance testing. We are customers of Apache. 

The benefit of JMeter is that it does our performance testing and provides a report without the need to spend money on a licensed tool. It's a significant benefit for us and for the project we're currently working on.

The fact that the solution is open source makes a big difference as we're working on a low-budget project. It's quite user-friendly and easy to use.

There are issues with the plug-ins which you need for reporting purposes as they make the reports quite heavy so you have to run them in non-GUI mode. If you go above the 200 user mark, the application creates a bottleneck and that's one of its major drawbacks. It means you have to run with a master-slave configuration with one system being the master, and multiple slave systems. It's not ideal and I think it could be simplified with a UI that provides direct configuration. In addition, the solution doesn't support SIP applications and some other protocols.

JMeter is not designed for high loads, if you overdo it the tool becomes a bottleneck. Unless you're using JMeter in multiple systems and all the systems are connected through a particular LAN, there is a limit.

Because it's freeware there's no official tech support but you can raise a request on the JMeter site. We haven't had many problems. 

We were previously using LoadRunner for this project but moved to JMeter because it's a freeware testware.

The initial setup is quite easy. There is no deployment process, you download a file from the web application service from your JMeter site, and you can use it. Any user with a little bit of knowledge can do it. The download takes about 15 minutes so you can be using JMeter in about half an hour. From time to time there are version upgrades but they don't affect existing assets. We have four people using JMeter and they don't have any issues. 

BlazeMeter works on top of JMeter and there is a small cost factor to purchase that. It basically gives a slightly more advanced JMeter. 

If you're working on a low-budget project and don't have dependencies of a huge number of users then this is the perfect tool. If you have 2,000 or 3,000 users then it's probably best to look at other options.

I rate this solution eight out of 10. 

We are in the financial industry in India and carry out performance testing. We deal with  SWIFT messages and financial messaging systems. A few years ago we had 2 million transactions in five hours; today it's 2 million in two hours. To measure these performances, I use JMeter for regression. We have Exadata, Exalogic infrastructure. We are users of JMeter and I'm a technical specialist. 

This tool is very user-friendly and easy to use. It's open-source so there are no costs involved for the non-production environments. It's easily available to anyone who wants to use it and it has all the features required for performance metrics.

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. When we want it to do a record with some new scripts, there are some challenges there.

I've been using this solution for two years. 

The solution is stable and easily scalable. 

The support is very good, with good technical teams. Whenever we get stuck they support us and provide solutions. 

The initial setup took only 10 minutes but there were some complications with the product initially having less features. That has been greatly improved. It's easy to do maintenance of the test tools which we develop, and it's easy to maintain as a product. We have around 20 users of this solution. 

It's open-source, so there's no cost. If you need some support from the vendors there will be a charge for that. 

I would recommend this solution. Most of the support, guides, and tutorials are available on YouTube. 

I rate this solution an eight out of 10. 

We use the solution for performance distributing testing.

The solution helps by detecting bottlenecks.

The solution provides a wide range of plugins and extensions, such as multiple monitors and multiple samplers. Apache JMeter can be used for multiple purposes, including performance and API testing, as well as integration testing. Additionally, users can create their own cloud and build their own distributor, eliminating the need to pay for any SaaS solution.

The UI has room for improvement.

I would like to be able to measure web performance as well using the solution. Apache JMeter is only for infrastructure testing, and backend testing, but we cannot use it for performance testing because we need to do it through the browser. 

I have been using the solution for one year.

The solution runs on Java software. 

I give the scalability a five out of ten.

The initial setup is straightforward. The documentation is very detailed.

I created a resource group in our private Azure cloud, and then I had multiple agents. This included one master and four or five slaves of Apache JMeter. I configured the Apache JMeter and began the distribution and testing.

I give the solution a seven out of ten.

I suggest using the solution and following the basics.

The distributed load testing is very good and the ramp-up. When we come out with the right ramp-up plan, it can be converted into Apache JMeter script very well. This accurately simulates how many of our transactions need to be triggered.

I would like to see exceptions improved. The initial setup is complex and needs to be upgraded. It would be great to have additional protocols other than HTTP, HTTPS, and APIs.

I have been working with Apache JMeter for the past seven years.

The stability is good and I am not finding any issues.

We are not having any problems with the scalability of Apache JMeter

Technical support is very good.

Positive

The initial setup is complex.

Apache JMeter is a free tool.

I would rate Apache JMeter a nine out of ten.