

OpenText Enterprise Performance Engineering (LoadRunner Enterprise) and OpenText Core Performance Engineering (LoadRunner Cloud) are key competitors in the performance testing field. LoadRunner Cloud seems to have the upper hand with its streamlined approach and quick deployment features, particularly in cloud environments.
Features:LoadRunner Enterprise offers robust testing capabilities such as comprehensive reporting, flexible scheduling, and seamless integration with Application Lifecycle Management. Its distributed framework supports testing from multiple global locations, allowing for complex scenarios. LoadRunner Cloud is praised for its rapid deployment, user-friendly interface, automatic anomaly detection, and integration with monitoring tools like SiteScope. It simplifies operations by eliminating heavy infrastructure requirements and caters to diverse geographical testing needs.
Room for Improvement:LoadRunner Enterprise can benefit from an improved web-based interface and better third-party tool integrations. Enhanced reporting features and real-time data dashboards are other customer-suggested improvements. For LoadRunner Cloud, users desire more customizable reporting options and improved management of test scripts and settings online. Expanding load pattern support and easier integration with open-source tools would also enhance its usability.
Ease of Deployment and Customer Service:LoadRunner Enterprise supports on-premises, private cloud, or hybrid deployments, reflecting its enterprise focus. While customer service is generally satisfactory, the support process can be time-consuming. LoadRunner Cloud, designed for public cloud environments, excels in rapid deployment and scaling. Its customer service is proficient, though response times can vary based on the support plan purchased.
Pricing and ROI:LoadRunner Enterprise’s pricing is substantial due to its comprehensive features and licensing structure, often leading to high costs if not carefully managed. However, it offers considerable ROI through its thorough testing capabilities. LoadRunner Cloud uses a flexible pay-as-you-go pricing model, making it cost-effective for variable testing needs despite being higher-priced than open-source alternatives. Both solutions aim to deliver high ROI by identifying potential performance issues early, reducing system downtime, and ensuring reliability during peak operations.
LoadRunner Cloud helps with risk elimination by reducing performance degradation in production, ensuring a better end-user experience.
The ROI is not necessarily cost savings. Sometimes a customer wants to use OpenText LoadRunner Cloud, or it's the only tool that will solve the problem depending on the application.
I have seen an ROI from this tool, as it provides enormous value.
I faced issues with OpenText LoadRunner Cloud support when a problem took three to four months to resolve, which negatively impacted our project, especially when key team members were unavailable during leave periods.
It's important to note that OpenText has recently taken over Micro Focus.
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.
It is very scalable, and on the cloud, it's even more scalable, potentially unlimited.
With load generators available, it is easily scalable to meet our needs.
As a small company, we primarily test 1,500 concurrent users and sometimes face issues such as load balancer problems.
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.
OpenText LoadRunner Cloud is extremely stable for our use case.
However, it remains quite stable.
It would also be convenient if there were options to convert scripts from competitor tools like NeoLoad to LoadRunner.
The technical personnel are not able to fix issues quickly, which becomes problematic during critical situations.
I expect an improvement in the cloud location offering to better serve local applications, particularly to enhance testing accuracy for users in regions like Thailand.
It could be much better, especially with modern AI capabilities.
It's delivering functionality, but we also use JMeter, which is free.
OpenText LoadRunner Cloud pricing is flexible, offering a more affordable solution compared to the more expensive on-premise LoadRunner.
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 LoadRunner Cloud can scale in a cloud-based environment to support up to ten thousand concurrent users without capacity loss, which is not possible with on-premise solutions on personal machines.
Its LoadRunner functionality allows us to record a solution's networking protocol and replay them.
We can monitor CPU and memory utilization, and response times.
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.
| Product | Market Share (%) |
|---|---|
| OpenText Core Performance Engineering (LoadRunner Cloud) | 8.8% |
| OpenText Enterprise Performance Engineering (LoadRunner Enterprise) | 6.2% |
| Other | 85.0% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 8 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 9 |
| Large Enterprise | 73 |
OpenText Core Performance Engineering offers scalable and efficient load testing using a cloud-based architecture, eliminating the need for physical infrastructure and supporting a wide range of users and testing scenarios.
OpenText Core Performance Engineering supports seamless integration with popular tools and delivers real-time anomaly detection and performance insights. With an intuitive interface, it supports scripting protocols and provides tests for cloud-hosted and on-premise applications. The platform streamlines performance testing and infrastructure management, addressing the needs of diverse sectors like banking, retail, and IT. However, it requires enhancements in reporting, integration, documentation, and support for older scripts.
What are the key features?Organizations in banking, retail, and IT sectors implement OpenText Core Performance Engineering for performance testing, integrating it within CI/CD pipelines. It suits public server application testing and enterprise systems like SAP and Salesforce, meeting diverse industry demands for app stability and responsiveness testing.
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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