

IBM Engineering Test Management and OpenText Core Performance Engineering (LoadRunner Cloud) are competitors in software testing and performance engineering. OpenText is often seen as superior due to its powerful features, outweighing IBM's benefits in pricing and customer support.
Features: IBM offers comprehensive collaboration tools, test planning, and reporting capabilities suited for structured testing. OpenText specializes in cloud-based load testing, providing scalability and advanced analytics for complex applications' performance testing.
Room for Improvement: IBM could enhance ease and speed of deployment, particularly for hybrid models. It might also benefit from a more streamlined user interface. OpenText may improve its integration capabilities with other tools and refine its reporting features to offer deeper analysis. Additionally, enhancing user interface usability could further benefit OpenText.
Ease of Deployment and Customer Service: OpenText's cloud-based deployment ensures quick scalability and flexibility, complemented by robust customer support. IBM, although providing strong customer service, may face longer deployment times due to on-premise or hybrid setups.
Pricing and ROI: IBM is recognized for its cost-effectiveness with low initial setup costs, likely providing high long-term ROI. OpenText, despite higher upfront expenses, offers substantial ROI due to its load testing and performance insights, justifying the investment.
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.
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 a return on investment with OpenText Core Performance Engineering (LoadRunner Cloud) as it has led to time savings and a reduction in manual efforts while generating the load.
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.
The customer support for OpenText Core Performance Engineering (LoadRunner Cloud) is very good.
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.
The scalability of OpenText Core Performance Engineering (LoadRunner Cloud) is based on its cloud-native architecture, which demonstrates strong load handling capacity and stable protocol and script execution.
OpenText LoadRunner Cloud is extremely stable for our use case.
OpenText Core Performance Engineering (LoadRunner Cloud) is a stable tool that demonstrates strong performance reliability.
The technical personnel are not able to fix issues quickly, which becomes problematic during critical situations.
The database schema and everything, if they generate on the fly, that will be quite helpful, rather than creating it on our own.
In-depth analysis tools found in the standalone LoadRunner analysis, such as graph merging and setting granularity, would be beneficial.
OpenText LoadRunner Cloud pricing is flexible, offering a more affordable solution compared to the more expensive on-premise LoadRunner.
My experience with pricing, setup cost, and licensing shows it is very high and very costly.
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.
The massive cloud scalability and fast design of OpenText Core Performance Engineering (LoadRunner Cloud) have helped me optimize performance, identify performance bottlenecks in my application, generate the traffic, and recognize performance reliability issues in my application.
In the standalone LoadRunner analysis, I can merge graphs or set granular filters to obtain custom reports.
| Product | Mindshare (%) |
|---|---|
| OpenText Core Performance Engineering (LoadRunner Cloud) | 8.4% |
| IBM Engineering Test Management | 2.6% |
| Other | 89.0% |

| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 9 |
| Large Enterprise | 30 |
IBM Engineering Test Management integrates with development and test automation tools, offering traceability between requirements and defects. It features versioning for artifact management, customizable Rational Quality Manager, web-based administration, and manual test case automation capabilities.
IBM Engineering Test Management supports Agile and DevOps, facilitating manual and automated testing. It allows for creating and executing test cases and plans using tools like Selenium and Micro Focus Quick Test Professional. Users manage testing processes by developing plans and automating test cases, with results stored in Rational Quality Manager. While valued for its integration and artifact management, users request usability enhancements, faster uploads, improved task management, and better support for automation integration, hierarchical test case organization, parameter support, and storage management.
What are the key features of IBM Engineering Test Management?IBM Engineering Test Management is implemented across industries to manage testing processes in Agile and DevOps environments. Consulting firms utilize it to create test plans for clients, while testing teams automate processes with Selenium and Micro Focus Quick Test Professional, storing outcomes in Rational Quality Manager for comprehensive analysis and decision-making.
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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