

IBM Engineering Test Management and OpenText Core Performance Engineering compete in the software testing and performance engineering category. OpenText is perceived to have an advantage with more advanced features.
Features: IBM Engineering Test Management provides comprehensive test planning, traceability, and reporting capabilities. It offers strong integration with third-party automation tools, enhancing test management functionality. OpenText Core Performance Engineering focuses on load testing, scalability, and seamless cloud integration, allowing performance testing intensiveness. Its ability to integrate with various monitoring tools ensures quick identification of performance bottlenecks.
Room for Improvement: IBM Engineering Test Management could enhance its cloud integration and scalability options to match evolving industry standards. More intuitive UI improvements could be beneficial to enhance user experience. OpenText Core Performance Engineering might benefit from refining its network configuration processes to reduce discrepancies. Further enhancements in real-time anomaly detection could provide even better user insights.
Ease of Deployment and Customer Service: IBM Engineering Test Management features straightforward deployment with strong integration capabilities and extensive support in its suite. OpenText's cloud-centric approach simplifies scalability and provides robust customer service, emphasizing performance-specific needs.
Pricing and ROI: IBM Engineering Test Management offers a competitive setup cost with a potential for high ROI through its test tracking features. OpenText Core Performance Engineering may have a higher setup cost but yields significant ROI through enhanced performance testing efficiency. Pricing benefits are apparent with IBM's accessibility, while OpenText offers compelling value with its advanced performance capabilities.
I have seen a return on investment with OpenText Core Performance Engineering (LoadRunner Cloud); the analysis part is quite helpful, which is quite more descriptive than the other products.
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 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.
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.
OpenText LoadRunner Cloud is extremely stable for our use case.
It would also be convenient if there were options to convert scripts from competitor tools like NeoLoad to LoadRunner.
The database schema and everything, if they generate on the fly, that will be quite helpful, rather than creating it on our own.
The technical personnel are not able to fix issues quickly, which becomes problematic during critical situations.
OpenText LoadRunner Cloud pricing is flexible, offering a more affordable solution compared to the more expensive on-premise LoadRunner.
It's delivering functionality, but we also use JMeter, which is free.
As for the pricing of OpenText Core Performance Engineering (LoadRunner Cloud), I find it quite expensive compared to other products in the market.
OpenText Core Performance Engineering (LoadRunner Cloud)'s advanced analytics help identify performance bottlenecks because whenever we are executing the test scripts, it shows a good analytics view where we can simply check which APIs are not performing well.
We can monitor CPU and memory utilization, and response times.
Another valuable aspect is the option to use JMX files, similar to JMeter scripts, with LoadRunner.
| Product | Mindshare (%) |
|---|---|
| OpenText Core Performance Engineering (LoadRunner Cloud) | 9.2% |
| IBM Engineering Test Management | 2.2% |
| Other | 88.6% |

| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 8 |
| Large Enterprise | 30 |
IBM Engineering Test Management (ETM), formerly known as IBM Rational® Quality Manager (RQM), is a business-driven software quality environment designed for collaborative and customizable test planning, workflow control, tracking, and metrics reporting. When integrated with IBM DevOps Test Embedded (Test Embedded), ETM allows users to create test environments and scripts, deploy and run tests, and view HTML reports. This integration enables the creation of ETM test environments linked to Test Embedded target deployment ports, the deployment and execution of Test Embedded tests through the ETM interface, and the mapping of ETM test scripts to Test Embedded test suites. Additionally, users can import test suites as ETM test scripts, build new ETM test cases, and view test results as HTML reports within ETM. The integration requires the Test Embedded adapter service to be running on the user's computer.
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.
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