JMeter, from Apache, is a load and performance testing tool.
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SonarQube Server
Score 9.5 out of 10
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SonarQube is a code quality and vulnerability solution for development teams that integrates with CI/CD pipelines to ensure the software you produce is secure, reliable, and maintainable.
Postman is really more about API testing, and was never aimed at performance/monitoring the way Apache JMeter does. If you find someone trying to use postman this way... show them the way!
More threads supported, open-source, more reliable, and easy to work with. The User interface is very elegant and simple to use, as compared to other competitors.
It is very costlier than Jmeter to manager for a multi-seat license. All company does not procure the license for costlier tools. Maintaining Load Runner scripts is difficult than JMeter scripts. You need skill resources to create and maintain the Loadrunner scripts and tools. …
Although Selenium is designed for automating real-world tests in browser and JMeter is designed to perform load testing, in some cases, JMeter based tests may be enough to verify application functionality. These products don't directly compete with each other and it should be …
SoapUI is a bit easier to get rolling for people without development skills but if you have people with development skills JMeter shines. JMeter also uses significantly fewer resources on the client so you can be sure your testing isn’t restricted by the client machine.
Best open-source performance testing tool. JMeter has no alternative for performance testing. It is really easy to record and enhance scripts using this tool. It provides lots of free plugins which gives us much flexibility. It can be executed using GUI or non-GUI. Good tool …
It's very easy GUI helps the tester to perform various testing scenarios. Easy to configure test cases and modules which has proper and well-maintained documentation. Its an excellent tool for performance testing and running a variety of load tests, stress tests, and longevity …
It has very powerful capabilities and for free!!! It's ease of use and installation and easy to get started are highlights. A lot of community support and youtube videos from JMeter developers to help you understand various functionalities within JMeter to support you. You can …
Jmeter is better for projecting a path to look into. Crystal only allows you to pull the specific data and display a set of data that you request. Jmeter allows you to feel out the direction the data is going as you go. Crystal also can have issues with graphing data correctly.
I have evaluated LOADUI (web free version) and it was a very unstable tool and I could not rely on those results completely as I was not sure how the tool was performing. It only generated the top 10 less transaction times and when Jmeter was in use, it was very effective in …
LoadRunner and Silk Test were the tools I used in the past to compare with JMeter. I thought LoadRunner had a more commercial appearance and it comes with HP support from your service provider. It also comes at a steep price. JMeter and LoadRunner have a similar learning curve …
We found BlazeMeter's service to fit great with our JMeter scripts, since they execute our JMeter scripts and provide excellent reporting tools and graphs, besides multi region and infrastructure to support different configurations of multiple concurrent users. I have used HP …
I have used LoadStorm. But, with JMeter we have advantages for it being open source, as lot of our clients don't have the budget to invest in tools. It can be used to write complex scripts, multithreading framework allows concurrent sampling by many threads and simultaneous …
NeoLoad is far ahead of JMeter in terms of reporting and user interface, the turn around time is less compared to JMeter as there are enough experts in market.
Besides JMeter, we've looked at WebLOAD and Gatling. Our organization used to use WebLOAD and we switched to JMeter at our division for its ease of use and configurability compared to WebLOAD. However, we will eventually switch to Gatling because Gatling provides greater …
Gatling is the future. JMeter is good, Gatling is better.
SonarQube Server
Verified User
Anonymous
Chose SonarQube Server
Some are still under consideration. Pricing is a big component. Some FOSS products have been considered is at par (at least for our needs) or catching up. Although the amazing support in the community weighs hard on the value. So, if it went away...so would some arguments …
SonarQube is more focused on code quality, whereas Veracode does a better job of finding security vulnerabilities. We lean towards SonarQube because we are looking for quality.
Jenkins and Gitlab are not exact alternatives for SonarQube, however, they do provide functionality for running and executing build pipelines for various languages and generating reports. However, they are not extensible, have no integration with IDEs and not suitable for …
SonarQube deployment worked well with our pipeline and had the right integrations with our IDE as well as it worked well with analyzing .NET frameworks when compared to GitHub and GitLab which has some of the functionality and can do some checks, but SonarQube made more sense …
SonarQube is a SAST, SOOS focuses on SCA and DAST - both of which we felt were out of scope for our immediate needs. Plus, through plugins SonarQube is able to accomplish some SCA.
SonarQube identifies significant more thing compared to the built-in suggestions in IntelliJ IDEA. The suggestions how to correct issues are also a lot better with SonarQube. IntelliJ IDEA provides great refactoring support to make it easy to refactor the code to solve issues. …
Getting SonarQube instead of the other tools we tested was an easy choice. Snyk was way too much limited to only Docker images and dependency analysis at that time. And Checkmarx was very hard to adapt to our needs : configuring custom quality gates was way too much of a …
SonarQube is much improved version as compared to SonarLint and Findbugs or any other software we found in similar category. It's open source and can be easily integrated with code pipeline.
I have used GitHub more that fortify so I am more familiar with GitHub for checking for vulnerabilities. I have noticed GitHub is good for checking different packages within your project but as far as checking code Quality and coverage Sonar is the better one in my opinion. …
I have used other tools like SoapUI and Postman, but their working and use case are totally different from the SonarQube, so basically cannot compare SonarQube with them. We use SonarQube in our project to basically calculate the code quality report mostly. In that report, we …
I personally evaluated klocwork in a previous company and it worked well for Static Code Analysis for C++ applications but the Java support was not as good as SonarQube.
Also the overall tooling and integrations provided by SonarQube is stellar and very other competitors can …
SonarQube is an open-source. It's a scalable product. The costs for this application, for the kind of job it does, are pretty descent. Pipeline scan is more secured in SonarQube. Its a very good tool and its support multiple languages. Its main core competency is of static code …
SonarQube contains all of their features. Findbugs has very limited capabilities. It is just a static code analyser and does not check for a continous code quality and also not possible to integrate its plugin azure devops .net pipelines and more importantly SonarQube ui is …
Sonar Qube doesn't do as good of a job of finding security vulnerabilities as dedicated SAST software, but it does more for code quality that the developers want to see. A comparison of Sonar Qube to something like Veracode or Fortify isn't apples to apples since they're not …
We found SonarQube right at the beginning of our research process and found that it met most of our needs. SonarQube fit very nicely into our TFS continuous integration process. We seamlessly integrated the SonarQube steps into our TFS process via the Microsoft Marketplace. …
Gitlab, if you have the right license, ships with a static analysis tool. It integrates better with Gitlab, but didn't seem to have the same quality output that Sonarqube did. Sonarqube's community version is plenty suitable for day to day analysis operations.
The key questions I would pose are: how high of a concurrent load do you need to generate against the system? How technically skilled are your personnel that will perform the load testing? How much programmable/scripting/code based control do you desire from the tool? Do you prefer more of a GUI based tool or a programmatic code/scripting based tool? JMeter will be for those that want a GUI, moderate to low scripting/code based control/programmability, moderate to low load generation, and for users experienced in the novice to expert range.
Large codebase: The tool's static analysis capabilities can help teams quickly identify and fix bugs, vulnerabilities, and code smells in large codebases.
Compliance and security: The tool can check the code against industry standards or regulations, such as OWASP and CWE, and identify any issues that need to be addressed.
Agile development: SonarQube can be integrated with CI/CD pipelines allowing teams to continuously monitor and improve code quality throughout the development process.
Teams using multiple languages: Teams that use multiple programming languages can benefit from using SonarQube, as the tool supports a wide range of languages and can be integrated with a variety of development tools.
Scenarios where SonarQube may be less appropriate:
Small codebase: Organizations with a small codebase may not see the full benefits of using SonarQube, as the tool's static analysis capabilities may be overkill for a smaller codebase.
Limited resources: Organizations with limited resources may find it difficult to set up and configure SonarQube, as the tool can be complex and may require specialized expertise.
Limited integration: Organizations that use development tools or IDEs that are not supported by SonarQube may find it difficult to integrate the tool into their existing development workflow.
Limited scalability: Large organizations with millions of lines of code may find SonarQube's performance and scalability to be an issue. It may take longer for the analysis to finish and the results may not be as accurate.
Easy to construct Webservices script - You just need to add a sampler with the endpoint, payload and header information. And boom you can run a load test on the service with varying load and capture the response time and throughput. In a commercial tool like Loadrunner or Silkperformer, this process would take at least couple of hours, while with Jmeter we can do this in 10 minutes or less.
Modularizing the scripts - Jmeter has a very good way of organizing the scripts and the reusability of the existing script (transactions) is also as easy as copy pasting the script.
Jmeter tests can be run from anywhere, so you can run it from the idle webserver itself if you have some firewall restrictions to test it from your local or other environment.
Jmeter distributed tests can be spawn from the AWS and results collated to see the performance from different regions in the world.
Even though it has very easy installation, you can run into issues easily. I was ab;e to trigger a test at browser level but couldn't stop the tests. I had to kill it from task manager and then had to reinstall from begining.
There are so many things in JMeter you can do especially with the sampler for selenium for UI tests. More documentation/webinars etc.. would help the community better.
The jmx files should have an easy way to be integrated with ci/cd tools and cloud.
Price, Wiki and user sharing. Having access to the information provided by the developers and other open source providers is key for me. The ability to share information and get answers directly is very important to success in software testing. And the price of this product currently is amazing. Too many companies charge way too much money for products that are far behind in their value and pertinence
I can jump right into a new test plan and start building from scratch. The natural progression from test plan to thread group and then designing the basic format of the process is very streamlined and smooth. With only slight modifications I can build out a very complex model from a very basic beginning.
I have been using JMeter for the last year. By using this tool, you can make sure the system will work under varied loads. It helps us to simulate real time scenarios by creating required virtual users and make sure the application will work under load. Perform load, stress, and stability testing using JMeter.
We we easily able to integrate the SonarQube steps into our TFS process via the Microsoft Marektplace, we didn't have the need to call SonarQube support. We've used their online documentation and community forum if we ran into any issues.
I have evaluated LOADUI (web free version) and it was a very unstable tool and I could not rely on those results completely as I was not sure how the tool was performing. It only generated the top 10 less transaction times and when Jmeter was in use, it was very effective in using plugins to accommodate more outputs.
SonarQube identifies significant more thing compared to the built-in suggestions in IntelliJ IDEA. The suggestions how to correct issues are also a lot better with SonarQube. IntelliJ IDEA provides great refactoring support to make it easy to refactor the code to solve issues. We use these tools together and they really complement each other.
It helped to estimate resources required for a particular client requirement. For example if the client wants the application to be used by 500 users for 1 hour, based on the load test we perform for 500 users and 1 hour we recommend resources and their capabilities.
Jmeter was used to identify bottleneck. This would lead to better performance.
Positive ROI from the standpoint of flagging several issues that would have otherwise likely been unaddressed and caused more time to be spent closer to launch
Slightly positive ROI from time-saving perspective (it's an automated check which is nice, but depending on the issues it finds, can take developers time to investigate and resolve)