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.
Product | Market Share (%) |
---|---|
OpenText Core Performance Engineering (LoadRunner Cloud) | 9.9% |
Apache JMeter | 19.1% |
Tricentis NeoLoad | 15.7% |
Other | 55.3% |
Type | Title | Date | |
---|---|---|---|
Category | Performance Testing Tools | Aug 28, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 28, 2025 | Download |
Comparison | OpenText Core Performance Engineering (LoadRunner Cloud) vs Apache JMeter | Aug 28, 2025 | Download |
Comparison | OpenText Core Performance Engineering (LoadRunner Cloud) vs BlazeMeter | Aug 28, 2025 | Download |
Comparison | OpenText Core Performance Engineering (LoadRunner Cloud) vs Tricentis NeoLoad | Aug 28, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Apache JMeter | 3.9 | 19.1% | 87% | 94 interviewsAdd to research |
Tricentis NeoLoad | 4.1 | 15.7% | 95% | 66 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 8 |
Large Enterprise | 27 |
Company Size | Count |
---|---|
Small Business | 114 |
Midsize Enterprise | 58 |
Large Enterprise | 303 |
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 Core Performance Engineering (LoadRunner Cloud) was previously known as Micro Focus LoadRunner Cloud, StormRunner Load, LoadRunner Cloud, and Micro Focus StormRunner Load.
Alfa Bank, N Brown Group, University of Copenhagen, McGraw-Hill, Cognizant
Author info | Rating | Review Summary |
---|---|---|
Performance Test Analyst at Sensata Technologies | 3.5 | I use OpenText LoadRunner Cloud for performance testing but face script issues and slow support resolutions, especially during critical times. While NeoLoad is an option, script maintenance challenges and license costs keep us with LoadRunner. |
CTO at Marco Technology | 3.5 | I use OpenText LoadRunner Cloud for cloud-based application projects, as its scalability supports up to ten thousand users efficiently. While its flexibility enhances high-scale testing, improvements in regional testing accuracy and AI-driven strategies are needed for better results. |
Assistant Consultant at Tata Consultancy | 5.0 | I primarily use OpenText LoadRunner Cloud for performance testing scripts and workflows. While its analysis depth could improve, using JMX files is beneficial. Previously, I used NeoLoad but now rely solely on LoadRunner Cloud with Microsoft Azure. |
Partner at IS Nordic AS | 3.0 | We use OpenText LoadRunner Cloud to ensure performance through load testing. Its valuable functionality allows recording and replaying networking protocols, handling extensive tasks like 350,000 web service calls per hour. I find it effective, with no notable improvements needed. |
Cloud Manager at a financial services firm with 5,001-10,000 employees | 4.0 | We use OpenText LoadRunner Cloud for load testing, benefiting from its flexibility with load generators and browser compatibility. It's improved over time, though native integration with Chaos engineering tools could enhance functionality. We previously used Performance Center but switched for better access. |
Senior Manager, Performance Engineering at Enel Group | 3.5 | We use OpenText LoadRunner Cloud for online and mobile banking services. It excels in performance testing by creating realistic scenarios and handling large user volumes. While it delivers a good ROI, improvements in the user interface and technology adoption are needed. |
Performance & Analytics Team Lead at a financial services firm with 10,001+ employees | 3.5 | We use OpenText LoadRunner Cloud for web and mobile testing due to its extensive protocol support. Despite transitioning from Silk Performer, challenges remain from past negative experiences with Micro Focus. Nonetheless, LoadRunner's comprehensive features make it a superior tool. |
Team Lead at a consultancy with 10,001+ employees | 4.5 | I've used OpenText LoadRunner Cloud for performance testing in various sectors, finding it user-friendly and efficient with its separate components for scripting, execution, and analysis. However, AI integration could enhance its functionality, especially for CI/CD pipeline automation. |