

Find out what your peers are saying about OpenText, Apache, Tricentis and others in Performance Testing Tools.
With Apache JMeter, I have gained great statistics for performance and server metrics.
I have not seen a return on investment right now, as there is no improvement in Apache JMeter and reduction in cost, but I save time and reduce costs with Apache JMeter.
With AI models ChatGPT, troubleshooting issues has become very easy for us.
The support for Apache JMeter is excellent.
Apache JMeter has strong support through its vast Java-based community on platforms like Stack Overflow.
Veracode provides excellent assistance and regularly scheduled calls to address customer concerns and updates.
There is still room for improvement when it comes to the speed of response.
We do have some methods where we can distribute the complete load between multiple systems and then try to do our testing.
JMeter is highly scalable, easily handling increased loads through the use of multiple servers.
This restricts the number of users and necessitates increasing load agents or distributing the script across multiple machines.
JMeter performs exceptionally well, especially in non-GUI mode, which supports high loads efficiently.
Several necessary features still need improvements, specifically in terms of reports and additional functionalities compared to other commercial tools.
Previous versions of Apache JMeter were a little unstable, but the new versions are very stable.
Since we've been using HCL AppScan for about three months, we really have not encountered a false positive.
With AI becoming more prominent, they can implement features where it can generate code by itself based on the results or provide suggestions.
Currently, we need to use multiple separate JMeter instances to simulate reductions in load, which isn't ideal.
The tool needs improvements related to client-side metrics, integrating with tools like YSlow or HTTP Watch, and enhancing mobile testing capabilities.
If I'm scanning a web application, it shows me the various components being used. It tells me whether I have Java libraries, .NET frameworks, or other log management libraries such as Log4j, and what versions of those specific components are present.
Using JMeter helps us avoid additional costs for high-load testing since it is open-source and allows for unlimited virtual users at no extra cost.
My experience with pricing, setup cost, and licensing is that the cost and license are free because Apache JMeter is open source.
It's a cost-effective solution.
Companies often choose based on budget constraints, with Veracode being on the higher end cost-wise.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
It's useful for both the person conducting the test and the higher management, like project managers or senior executives, who may not know about the test.
Despite being open source, it offers features comparable to paid tools.
AppScan's most valuable features include its ability to identify vulnerabilities accurately, provide detailed remediation steps, and the newly introduced AI-powered features that enhance its functionality further.
I have utilized its interactive application security testing, as well as both static application security testing, dynamic application security testing, and IAST.
| Product | Mindshare (%) |
|---|---|
| Apache JMeter | 8.9% |
| OpenText Professional Performance Engineering (LoadRunner Professional) | 15.6% |
| Tricentis NeoLoad | 13.0% |
| Other | 62.5% |
| Product | Mindshare (%) |
|---|---|
| HCL AppScan | 2.2% |
| SonarQube | 10.8% |
| Checkmarx One | 7.3% |
| Other | 79.7% |

| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 24 |
| Large Enterprise | 61 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 6 |
| Large Enterprise | 31 |
Apache JMeter is a versatile, open-source tool designed for performance and load testing, widely recognized for its user-friendly interface and robust test automation capabilities. It supports a range of protocols and integrates seamlessly into various environments, making it ideal for high-load scenarios.
Apache JMeter stands out in performance testing for its ability to handle high transactions per second and perform distributed load testing effectively. Its open-source nature and cost-effectiveness are enhanced by its user-friendly GUI, which simplifies the testing process. Despite memory consumption concerns, Apache JMeter remains a top choice due to its large community support, comprehensive scripting capabilities, and easy integration with CI/CD pipelines, allowing for continuous automated testing. Its robust protocol support meets diverse testing needs.
What are Apache JMeter's key features?In industries like finance and banking, Apache JMeter is used extensively for performance validation to ensure system robustness under heavy user loads. It's integrated into CI/CD pipelines for automated testing processes, allowing organizations to simulate real-world scenarios and ensure high-performance standards.
HCL AppScan offers quick vulnerability detection with effective SDLC integration and is known for its user-friendly interface and seamless security integration.
HCL AppScan provides dynamic and static scanning to identify vulnerabilities like XSS and SQL injection. It integrates well into CI/CD pipelines, supports multiple languages, and offers web and dynamic scanning, helping businesses ensure security across development lifecycles. Users benefit from API coverage, Postman integration, and its ability to function in cloud and on-premise environments, facilitating a shift from DevOps to DevSecOps practices.
What features define HCL AppScan?HCL AppScan is leveraged in sectors requiring rigorous security checks, such as finance and healthcare, where it conducts comprehensive scans and offers insights into potential vulnerabilities. Its robust scanning capabilities aid companies in maintaining compliance and security standards.
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