OpenText Enterprise Performance Engineering and OpenText Core Performance Engineering compete in the performance testing category. LoadRunner Cloud is often favored for its advanced features and flexibility, particularly by teams prioritizing ease of access.
Features: LoadRunner Enterprise focuses on centralized and robust features like script versioning and server-side metrics, suitable for complex needs. LoadRunner Cloud's cloud-based scalability, virtual user integration, and seamless tool integration emphasize flexibility and cost-efficiency, supporting quick deployment.
Room for Improvement: LoadRunner Enterprise should enhance DevOps integration, real-time monitoring, and cloud solutions. LoadRunner Cloud needs better analysis capabilities, streamlined platform integration, and more cost-effective pricing to enhance accessibility.
Ease of Deployment and Customer Service: LoadRunner Enterprise mixes on-premises and hybrid setups with a traditional structure, while LoadRunner Cloud offers straightforward cloud deployment. Support is competent for both, though LoadRunner Cloud benefits from a proactive model.
Pricing and ROI: LoadRunner Enterprise incurs higher initial costs, optimal for large enterprises with extensive testing needs, promising substantial ROI when utilized effectively. LoadRunner Cloud's flexible, pay-per-use pricing is generally cost-effective, offering strong ROI with dynamic demand scaling and lower upfront costs.
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.
LoadRunner Cloud helps with risk elimination by reducing performance degradation in production, ensuring a better end-user experience.
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.
The solution is highly scalable, which is its main feature.
OpenText LoadRunner Cloud is extremely stable for our use case.
In-depth analysis tools found in the standalone LoadRunner analysis, such as graph merging and setting granularity, would be beneficial.
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.
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.
Its LoadRunner functionality allows us to record a solution's networking protocol and replay them.
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.
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) provides robust performance testing capabilities with scalable and user-friendly tools. It supports multiple protocols for diverse applications, ensuring reliable and comprehensive performance metrics for organizations.
Designed for extensive performance testing, OpenText Enterprise Performance Engineering offers advanced integration features and global testing capabilities. Users value its ease of scheduling, detailed analysis, and efficient resource management. It simulates real-world scenarios to deliver valuable metrics across industries. Its intuitive interface, while needing smoother navigation, aligns with its flexibility and versatility. Enhanced reporting and cloud-based integration, especially with AWS, are potential growth areas alongside improved third-party tool integration and technical support.
What are the key features of OpenText Enterprise Performance Engineering?OpenText Enterprise Performance Engineering is implemented in banking, healthcare, and retail industries, assisting in load, stress, and performance testing. Organizations utilize its capabilities for validating web, API, cloud, ERP, and Citrix applications, ensuring reliability with comprehensive metrics for large-scale user handling.
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