Apache JMeter Reviews

I use JMeter for concurrency and some backend services. We are also using JMeter to apply our tests within our framework by sending some requests to JMeter to assess our application's performance. My company is developing software based on data analytics that produces insights and graphs like Tableau or Power BI. We use JMeter to test the graphs, how the tables are rendered, and how long it takes to render some applications. 

For instance, we have a problem with one of our clients that use some complex scenarios or queries that take too much time to retrieve from the application or render to the end user. We ran a couple of tests on the application using JMeter and spotted the service or request that was taking too much time.We alerted the developers about this, and they took the appropriate action to fix this problem. Afterward, we run another cycle of JMeter to ensure everything is working as expected.

There are two modules. The analytics module is the interface for the stakeholders and company decision-makers. The number of users isn't that big, unlike the retail applications websites. It's 500 users at most. The other module is deals with data volume. We are currently doing some POCs to check whether we will benefit from JMeter in this area because it's not a concurrency issue. It's a data volume issue.

We have a hybrid deployment because we are using JMeter to assess the performance of our products. If the product is deployed on the cloud, we use JMeter on the cloud. If it's on-prem, we are using it on-prem. At my previous company, we mainly used JMeter on-prem.

I expect that we will continue to rely more on JMeter, and we have multiple DevOps pipelines using JMeter to test another module in our application.

I use all the tools, but one feature that stands out is JMeter's ability to test when services are sending a particular kind of request. We are using specific ports to send queries, and assess the performance based on the time it takes these queries to respond. You can use it with stuff other than the web performance.

The UI needs some work. The first time I used JMeter, I couldn't record the full scenario to mimic the user experience. Since then, they have introduced some plugins and a third-party tool called BlazeMeter. It's working on this, actually.

It's an excellent plugin that you can use to record the scenario from Google Chrome, and it integrates easily into JMeter. They could also make it easier to generate the built-in report. Now, you run the tests and generate the charts in a separate column. The graphs and charts that display the test metrics could be better.

I worked with another tool called Web Performance Tester, and its interface is better than JMeter's. They have intuitive graphs while you are running the tests, so you can see how things are going. It shows you the number of concurrent users logged into the system, the number of failures, response times, etc.

I worked in performance testing from 2011 until 2019. I was working with another tool, but in the last few years, I started using JMeter for a couple of projects.

It's hard to say definitively. When there's something wrong with JMeter, we're unsure whether it's something in the device because there are lots of requests coming from the machine. Maybe we didn't use it that many times from our local server. There are some bottlenecks, but in many cases, we only need to restart JMeter, and it works fine.

JMeter is scalable. I did a test using it in a distributed environment with more than one client. We used JMeter to load from the server and also the plugin tool. It works fairly well in a complex environment. I still need to research the maximum concurrent JMeter can handle. Is it 1 billion or 10 million? 

In my work experience, I need to load maybe 1 million users. For example, most of my work is on the backend of e-commerce websites with a maximum of 1,000 users. We have many clients, but the load is not that big. 

I don't think JMeter has technical support because it's an open-source application, but there is support for third-party apps that use JMeter. For instance, BlazeMeter has good technical support.

I have more experience in a tool called Web Performance Tester, but it has some limitations. For example, it doesn't support some forms. A long time ago, their support was better, but lately, their support hasn't been so good. They always ask us to switch to the consultancy service and they don't give us the solution. If we face problems, they always tell us, "Okay. You can consult us." This is not a good practice, actually.

Also, Web Performance Tester isn't well-known, so some of our clients aren't confident in it because it doesn't have a reputation.  They were more familiar with JMeter, and it's something I've used.  However, I have no problem with Web Performance Tester. It's hard to compare the two tools because it's not apples to apples. 

I joined this company in October, and they had just started using JMeter. Previously, they were using a tool that they had developed in-house. They found that JMeter has more capabilities and specificity than the tools they were using.

Setting up JMeter is straightforward. It doesn't need an installation like other tools. There is a batch file for Windows. Around four people in my organization are responsible for maintaining and managing JMeter.

JMeter is a free open-source tool. There are some third-party tools built on top of JMeter that have a license or something like BlazeMeter. I think you can also purchase some additional services.

I rate Apache JMeter eight out of 10.  Before using JMeter, you should find some tutorials because you need to be trained to use it. It's not a plug-and-play tool. This is what I did. Spend some time researching JMeter's capabilities. We met a lot of people who knew about JMeter, but when you tell them that it can do something, they're not aware of it. 

For instance, through taking some courses, we learned that JMeter has distributed performance capabilities. Some people still know that you can't make these recordable scenarios. This information hasn't reached everyone in the IT market.

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's key feature is its ability to manage load profiles, gradually increasing requests over time. This was crucial for us as we tested our application, handling unique protocols and increasing load steadily. JMeter helped identify bottlenecks by measuring response times as we increased request flow rates. This data guided us in optimizing our system's performance and scaling hardware when needed. Recently, new tools like Platinum Consultant have emerged, but I haven't explored them thoroughly. My colleagues prefer these newer tools over JMeter.

JMeter helps us track response times between request and response. As we increase our workload, response times also rise, indicating potential bottlenecks. We use JMeter to gauge when we need to upgrade hardware or optimize our application for better performance. It's effective in measuring various request types and their corresponding response times, making it a valuable tool for assessing system performance.

I appreciate JMeter's simplicity and power for performance testing. While I haven't used all its features, the ability to simulate heavy loads from multiple users is quite beneficial. However, in my current configuration, we haven't utilized this specific aspect of JMeter. Compared to other costly tools like Hewlett Packard, JMeter is free and easier to use, although there are newer tools like Gatling that I haven't tried. Overall, JMeter is simple and effective for performance testing.     

Improving JMeter's sync time could be beneficial. For example, compared to a Hewlett Packard tool that required four machines for load generation, JMeter reduced this to possibly just two machines for the same workload.

I've been a junior with a few years of experience using Apache JMeter for load testing. It's a straightforward tool with useful features, although not entirely unique. 

Scalability is near-linear, especially with custom configurations.

Setting up JMeter is straightforward, not complex at all. Deployment time depends on the code you write for JMeter, which is executed efficiently.I've used it on-premises, but it might also work in a cloud configuration

Since it's free, there's no need for extensive support or improvements in pricing.

Overall, I'd give JMeter a solid ten for its simplicity and effectiveness in typical tasks. While the UI could be slightly better, it's not a critical issue. JMeter provides valuable data and insights through its graphs, and its main benefit lies in being free, simple to use, and widely recognized.

We use Apache JMeter for performance testing, including the response time of our websites for multiple users.

The product is specialized in performance testing. It gives accurate results and recommendations that we can implement to enhance the performance of websites.

Apache JMeter could be a more user-friendly product from the end user's perspective. It requires someone with technical knowledge to administer it. This particular area needs improvement.

We have been using Apache JMeter for a year.

I rate Apache JMeter's stability a ten out of ten.

We have around 12 Apache JMeter users in our organization. I rate the product's scalability an eight out of ten.

The technical support team responds quickly to queries.

The initial setup process is very complicated for the on-premises version. It would be better to use the cloud version.

The product has reasonable pricing.

It is a complete tool that integrates lots of functionality. I recommend it to others and rate it a nine out of ten.

We use the solution for performance and security testing.

The solution's most valuable feature is its ability to install and automate functions with ease.

They should improve the solution on its UI front.

 We have been using the solution for six years.

I rate the solution's stability as a seven or eight.

We are an enterprise business using the solution. It flips a bit whenever we add more than 10,000 virtual users to the solution. It becomes impossible to get the expected result. We have to use distributed testing to deal with the issue. I rate the solution's scalability as a six.

We check with the solution's community support forum in case of any queries. It is very active.

We tried out solutions such as LoadRunner and NeoLoad. As these were commercial tools, we settled for JMeter. Also, the reviews from those who have used the solution helped us switch to it.

I rate the solution's initial setup as an eight. It is easy.

Regarding deployment, you have to download the installation file and save it in the system. If it has specific prerequisites, such as installing Java, you need to ensure it is compatible with JMeter's current version.

The solution is free of cost as it is open source.

The solution works well for small or medium applications but not with 10,000 or more footfall. I rate the solution as a seven.

Apache JMeter is utilized for load testing of applications such as APIs and web services. Various types of load testing can be conducted, including stress tests and load tests. It supports different types of protocols, such as HTTP, HTTPS, SFTP, and others.

The most valuable features of Apache JMeter are user-friendliness, large resource, and the quality of assistance they provide. Additionally, it is easy to integrate with cloud platforms, such as AWS.

Apache JMeter could use improvement in reporting. Currently, it isn't easy to generate reports in PDF format. While receiving reports in PDF format is possible, it requires a lot of customization. Additionally, when comparing the load test to others solutions it could improve.

I have been using Apache JMeter for approximately five years.

Apache JMeter is a stable solution.

We have more than 100 people using Apache JMeter in my organization.

We have multiple clients using this solution and all of our testers are using the solution.

My advice to others is for them to go through online tutorials before using the solution. It is easy to use, and anyone can quickly learn and test their application.

I rate the scalability of Apache JMeter an eight out of ten.

I have not contacted technical support.

The initial setup of Apache JMeter is easy and simple to configure. The whole process of implementation takes approximately half an hour. The first step is to download Java and install it. The last step is to download Apache JMeter and install it. 

The main reason we chose Apache JMeter is that it is cost-effective and easy to use. There is no need to pay for additional services. Additionally, it does not require additional payment to vendors. The solution is open-source and free.

I rate Apache JMeter a nine out of ten.

The primary use case for the solution is to test web applications.

The most valuable feature is that the solution is open source.

There are a lot of areas in this solution that can use improvement. The solution is not user-friendly, there is no framework for autocorrelation or parameterization.

I have been using the solution for a little over one year.

The new version of the solution is stable.

The initial setup is straightforward as long as you do not require an advanced setup, which can be difficult. The basic setup takes only one hour.

The solution is open-source.

I give the solution

The only support available for the solution is online because it is open-source and does not come with technical support.

To anyone that is thinking of using the solution, I suggest you familiarize yourself with regular expression.