


Find out what your peers are saying about Apache, OpenText, 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.
I have seen an ROI from this tool, as it provides enormous value.
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.
The customer service and technical support for OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is reasonable, not impressive, but provides adequate assistance.
The technical support experience is a bit limited due to this indirect relationship.
I can rate it around eight because I think they are much faster than OpenText or Micro Focus.
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.
I rate the scalability of OpenText Enterprise Performance Engineering (LoadRunner Enterprise) as ten when using a scale from one to ten, with one being low.
For scalability, I can rate Tricentis NeoLoad around three.
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.
However, it remains quite stable.
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.
It could be much better, especially with modern AI capabilities.
The effect of the new license policy is that NeoLoad becomes more and more unattractive for smaller companies, and only bigger companies are interested or find the license fee fair.
I would probably like to see some new functionalities for Tricentis NeoLoad, such as a converting mechanism.
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.
When discussing price, OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is very expensive, which I would represent by a rating of ten.
It is neither cheap nor expensive.
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.
The best features of this solution are easy scripting and broad platform support.
The scalable testing environment is very beneficial for my performance testing processes.
Most graphs can be configured with drag-and-drop, which is handy, and you get graphs suitable for reporting issues.
I find that my team is using the features at Tricentis NeoLoad most effectively, as my role is to get that data out of the tool, and they do the analysis.
| Product | Mindshare (%) |
|---|---|
| Apache JMeter | 10.4% |
| Tricentis NeoLoad | 10.7% |
| OpenText Enterprise Performance Engineering (LoadRunner Enterprise) | 6.5% |
| Other | 72.4% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 23 |
| Large Enterprise | 61 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 9 |
| Large Enterprise | 74 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 12 |
| Large Enterprise | 51 |
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.
OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is renowned for its comprehensive performance testing capabilities, supporting a broad range of protocols with a user-friendly interface, making it ideal for global test execution and project management efficiency.
OpenText Enterprise Performance Engineering offers a robust platform designed to streamline performance testing for organizations across various industries. Its ability to manage scripts easily, support wide protocols, and maintain a scalable and centralized platform proves valuable for conducting global tests. The tool excels in generating virtual users with customizable environments and offers extensive analytics and reporting features. Despite some users seeking better integration with third-party tools and cloud support, as well as enhanced AI and DevOps integration, LoadRunner Enterprise remains a sought-after solution for performance testing. Its interface and tech support improvements, along with browser compatibility and cost concerns, are acknowledged areas for growth.
What are the essential features?In banking, healthcare, and retail, organizations employ LoadRunner Enterprise to ensure their applications remain stable and performant during high user loads. The tool is critical for testing web services, APIs, and in-house applications, providing insights that help predict performance outcomes during key phases such as go-live, platform upgrades, and data center migrations. By confirming scalability, it ensures seamless application operation under increased user demand.
Tricentis NeoLoad is designed for performance and load testing, allowing teams to collaborate effectively, even across different locations. Its user-centric interface supports various protocols and seamlessly integrates with tools like Jenkins and Tableau.
Tricentis NeoLoad streamlines performance testing by offering an adaptable environment for distributed teams. The tool is noted for its comprehensive analysis capabilities, user-friendly interface, and support for mobile and cloud testing. It also provides cost-effective scalability compared to competitors such as LoadRunner. However, areas for improvement include enhanced protocol support, interface and reporting upgrades, and better integration with CI/CD pipelines. Users have noted stability issues with large projects and challenges with concurrent script editing. Enhancing customer service, licensing options, and documentation could further improve user experience.
What features make Tricentis NeoLoad stand out?Tricentis NeoLoad is primarily utilized in web application and SAP GUI testing, focusing on performance in QA and production settings. It supports real-world simulation for web services and APIs, proving especially beneficial in industries demanding robust system behavior monitoring and application scaling. Catering to on-premise and SaaS deployments, it integrates into CI/CD pipelines, enhancing testing efficiency across sectors.