

OpenText Enterprise Performance Engineering (LoadRunner Enterprise) and Apache JMeter compete in the performance testing category. LoadRunner Enterprise is noted for its pricing model and support, while JMeter is chosen for its features and open-source availability, providing better value for money.
Features: LoadRunner Enterprise offers scalability, the ability to handle various protocols and applications, and real-time monitoring. JMeter is appreciated for its customization, community support, and CI/CD pipeline integration, being efficient for HTTP and web-based applications.
Room for Improvement: LoadRunner Enterprise needs enhanced cloud support and better integration with new technologies. JMeter could improve in reporting, protocol support, and user interface, with high resource consumption as a limitation.
Ease of Deployment and Customer Service: LoadRunner Enterprise is often deployed on-premises, offering support with varied user experiences. JMeter is versatile in hybrid cloud setups, relying on community support.
Pricing and ROI: LoadRunner Enterprise has high costs but offers valuable ROI in enterprise settings. JMeter, being open-source, is cost-effective, ideal for smaller projects, though larger enterprises may need additional training and integration investments.
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.
Apache JMeter has strong support through its vast Java-based community on platforms like Stack Overflow.
Apache JMeter relies more on community support.
BlazeMeter, compared to LoadRunner, is still scalable and expandable easily.
On a scale of 1 to 10 for the support of OpenText Enterprise Performance Engineering (LoadRunner Enterprise), I would rate it a 10.
The customer service and technical support for OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is reasonable, not impressive, but provides adequate assistance.
We do have some methods where we can distribute the complete load between multiple systems and then try to do our testing.
This restricts the number of users and necessitates increasing load agents or distributing the script across multiple machines.
For backend automation and performance testing with web services, web APIs, and queue management systems, I would rate Apache JMeter's scalability as between eight and nine.
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.
It is simple to scale.
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.
Apache JMeter is quite stable.
However, it remains quite stable.
OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is very stable.
From a stability point of view for OpenText Enterprise Performance Engineering (LoadRunner Enterprise), I would rate it as seven based on the version that we are using.
With AI becoming more prominent, they can implement features where it can generate code by itself based on the results or provide suggestions.
The tool needs improvements related to client-side metrics, integrating with tools like YSlow or HTTP Watch, and enhancing mobile testing capabilities.
With BlazeMeter, you can view the results in real-time.
It could be much better, especially with modern AI capabilities.
If OpenText could think about bringing AI features into the tool, it could save maximum time in scripting or make scripting effortless, particularly in correlation, which is where the complexity involved in script development exists.
Regarding the features for different versions of OpenText Enterprise Performance Engineering (LoadRunner Enterprise), it is not clear to me which features are correct for my Windows server or whether the functionality is appropriate for my infrastructure.
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.
Apache JMeter is completely free as it is open-source.
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.
OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is very 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.
OpenText Enterprise Performance Engineering (LoadRunner Enterprise) helps us to identify the hotspots from the applications during peak times through the LRE simulation.
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.
| Product | Mindshare (%) |
|---|---|
| Apache JMeter | 8.9% |
| OpenText Enterprise Performance Engineering (LoadRunner Enterprise) | 7.6% |
| Other | 83.5% |

| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 23 |
| Large Enterprise | 62 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 9 |
| Large Enterprise | 76 |
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.
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