

BlazeMeter and OpenText Core Performance Engineering (LoadRunner Cloud) compete in the cloud-based performance testing market. BlazeMeter appears to have the upper hand in integration and ease of use, while LoadRunner Cloud excels in supporting high-scale testing.
Features: BlazeMeter provides strong cloud-based performance testing, seamless JMeter integration, easy scalability, and real-time monitoring. It simplifies test execution with its cloud infrastructure, supporting tools like New Relic. LoadRunner Cloud supports up to 10,000 concurrent users, offering extensive protocol support and detailed performance transaction analysis. Its features are designed for high-scale load testing.
Room for Improvement: BlazeMeter struggles with load generator provisioning, reporting, and APM tool integration. It needs better granularity in test execution scalability and WebSocket protocol support. LoadRunner Cloud requires deeper analytics, improved CI/CD pipeline integration, and more competitive pricing. Enhanced agile functional testing support and analysis tools are necessary.
Ease of Deployment and Customer Service: BlazeMeter offers flexible deployment across cloud environments, paired with outstanding customer support, rapid response, and detailed assistance. LoadRunner Cloud has efficient deployment options but needs to improve customer service response times and support ticket handling to meet customer expectations.
Pricing and ROI: BlazeMeter offers competitive pricing with its flexible consumption-based models, though high costs may challenge smaller enterprises. Its integration capabilities and automation efficiencies lead to significant ROI by reducing testing times and boosting productivity. LoadRunner Cloud features a flexible pay-as-you-go pricing model, cost-effective for high-scale testing but with a higher base price than some rivals. Its comprehensive testing and efficient cloud use provide strong ROI.
BlazeMeter has positively affected my ROI, significantly saving time, resources, and money.
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.
Customer support for BlazeMeter is commendable, offering 24/7 assistance.
The customer service is not available 24/7, which affects its rating.
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.
The customer support for OpenText Core Performance Engineering (LoadRunner Cloud) is very good.
BlazeMeter has the capability to simulate a higher number of users compared to JMeter standalone.
BlazeMeter is quite scalable, and I rate its scalability as nine 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 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.
BlazeMeter is incredibly stable and delivers accurate results consistently.
I would rate the stability of BlazeMeter as eight out of ten, indicating that it is a stable and reliable solution.
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.
If BlazeMeter could automate integration across multiple pipelines and fetch the latest builds automatically, it would significantly enhance my experience.
The licensing cost is also a concern since BlazeMeter is not free like JMeter, which limits its use.
The extra CSV random dataset plugin could be integrated with a simple checkbox in the existing CSV dataset plugin to read files randomly.
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.
The database schema and everything, if they generate on the fly, that will be quite helpful, rather than creating it on our own.
BlazeMeter requires licensing, which means it is not free like JMeter, adding to the setup cost considerations.
Regarding pricing, it is favorable compared to other tools, providing good value.
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.
BlazeMeter offers a higher limit on load simulation compared to standalone JMeter.
BlazeMeter integrates with JMeter via multiple plugins, which streamlines performance testing, test monitoring, and report sharing.
Unlike JMeter, which has limitations on user simulations, BlazeMeter allows me to test any number of users, helping my e-commerce website manage unpredictable traffic loads effectively while delivering accurate results I can trust to improve my systems.
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.
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.
| Product | Mindshare (%) |
|---|---|
| BlazeMeter | 5.9% |
| OpenText Core Performance Engineering (LoadRunner Cloud) | 8.1% |
| Other | 86.0% |

| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 9 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 9 |
| Large Enterprise | 30 |
BlazeMeter ensures delivery of high-performance software by enabling DevOps teams to quickly and easily run open-source-based performance tests against any mobile app, website or API at massive scale to validate performance at every stage of software delivery.
The rapidly growing BlazeMeter community has more than 100,000 developers and includes prominent global brands such as Adobe, Atlassian, Gap, NBC Universal, Pfizer and Walmart as customers. Founded in 2011, the company is headquartered in Palo Alto, Calif., with its research and development in Tel Aviv.
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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