

Find out what your peers are saying about Apache, Tricentis, Perforce and others in Performance Testing Tools.
I have seen an ROI from this tool, as it provides enormous value.
The technical support experience is a bit limited due to this indirect relationship.
The customer service and technical support for OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is reasonable, not impressive, but provides adequate assistance.
Sometimes, the documentation is not readable, being too long or too detailed and not connected to my problem.
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.
However, it remains quite stable.
It could be much better, especially with modern AI capabilities.
Additionally, in Visual Studio Code, we have an agent mode for GitHub Copilot, which is very helpful in testing or development phases, while Visual Studio's GitHub Copilot is a bit tricky and sometimes does not provide my desired output.
The product needs contextual help integrated within its interface.
Sometimes, the library version is not compatible with other libraries, causing errors in my application.
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.
The price is expensive.
The scalable testing environment is very beneficial for my performance testing processes.
The best features of this solution are easy scripting and broad platform support.
Visual Studio Test Professional is highly valuable because it provides extensive extensions and plugins that assist in measuring code quality.
We have a retrospective in our auto projects that we are using frequently to get lessons learned, what went well, and what is going wrong.
It supports cross-platform functionality.
| Product | Mindshare (%) |
|---|---|
| OpenText Enterprise Performance Engineering (LoadRunner Enterprise) | 6.0% |
| OpenText Professional Performance Engineering (LoadRunner Professional) | 12.7% |
| Apache JMeter | 11.7% |
| Other | 69.6% |
| Product | Mindshare (%) |
|---|---|
| Visual Studio Test Professional | 1.6% |
| Tricentis Tosca | 12.0% |
| BrowserStack | 6.8% |
| Other | 79.6% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 9 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 14 |
| Large Enterprise | 24 |
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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