Find out what your peers are saying about Apache, Perforce, Tricentis and others in Performance Testing Tools.
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.
The development time using UFT can be cut down into half as compared to coding from scratch.
Automation is done very fast, leading to improvements in the QA process and reducing the time needed for test automation.
We can easily achieve a return on investment in one, two, or three years.
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.
Organizations can't wait for this lengthy process, especially when they are under pressure with their timelines.
Support cases are easily created and attended to promptly, depending on urgency.
The technical support is rated eight out of ten.
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 solution is highly scalable, which is its main feature.
The tool can be installed on all computers used by developers or test automation engineers.
OpenText LoadRunner Cloud is extremely stable for our use case.
One of the key stability issues was that Windows would consume memory without releasing it, leading to regression testing crashes.
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.
We frequently encountered stability issues when the browser dependency caused Windows to consume memory without releasing it, leading to crashes during regression testing.
If it could move closer to a no-code or low-code solution, it might dominate the market again.
Incorporating behavior-driven development tests would enhance the capabilities of UFT One.
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.
There are many open-source tools with no cost, and there are no-code tools that are less expensive than UFT.
It's cheaper than Tricentis Tosca but more expensive than some others.
The pricing or licensing policy of OpenText is a bit expensive, however, it's one of the best solutions in the market.
A significant difference is in its depth of analysis.
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.
We can monitor CPU and memory utilization, and response times.
UFT supports Oracle, SAP, PeopleSoft, and other non-web applications, making automation feasible.
OpenText UFT One offered valuable features by allowing us to build up libraries to streamline repetitive tasks, making scripting much easier.
The object repository is one of the best in the market, allowing creation of a repository useful for all tests.
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 Functional Testing provides automated testing with compatibility across technologies, browsers, and platforms. It targets APIs, GUIs, and applications like SAP and Oracle for efficient test automation, emphasizing usability and integration with tools such as Jenkins and ALM.
OpenText Functional Testing offers wide-ranging automation capabilities for functional and regression testing, API testing, and automation across web, desktop, and mainframe applications. It supports script recording and object identification, appealing to less technical users. Despite its advantages, it grapples with memory issues, stability concerns, and a challenging scripting environment. Its VBScript reliance limits flexibility, generating demand for enhanced language support and speed improvement. Users appreciate its role in continuous integration and deployment processes, managing test data efficiently, and reducing manual testing efforts.
What are the key features of OpenText Functional Testing?In industries like finance and healthcare, OpenText Functional Testing is leveraged for end-to-end automation, ensuring streamlined processes and accuracy in testing. Many companies utilize it for efficient test data management and integrating testing within continuous integration/deployment operations.
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