BlazeMeter and OpenText LoadRunner Cloud compete in the performance testing category. BlazeMeter is favored for its integration flexibility with open-source tools, while LoadRunner Cloud stands out with robust protocol support and scalability.
Features: BlazeMeter offers easy test configuration, real-time insights via integrations like New Relic, and scalable JMeter tests. It's designed for Agile processes with cloud-based capabilities and open-source integration, ensuring performance testing simplicity. LoadRunner Cloud supports a comprehensive range of protocols, including those for legacy applications, making it ideal for large-scale enterprise needs. It also provides detailed analysis and deployment versatility across environments.
Room for Improvement: BlazeMeter can improve its server hour calculations, APM tool integration, and support response times. Its documentation and reporting also need enhancement. LoadRunner Cloud could benefit from lower pricing, enhanced CI/CD integration, and more user-friendly analysis tools.
Ease of Deployment and Customer Service: Both platforms support various cloud configurations. BlazeMeter offers flexibility in public, hybrid, and private clouds. It garners mostly positive customer support reviews but with some inconsistencies. LoadRunner Cloud receives praise for its effective support but experiences vary depending on queries.
Pricing and ROI: BlazeMeter's decision factors focus on cost-effectiveness and competitive pricing, appealing to SMEs despite initial costs. LoadRunner Cloud is more expensive due to its expansive feature set catering to extensive enterprise needs. Its consumption-based model aids cost management, yet high expenses are a common concern for users.
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 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.
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 solution is highly scalable, which is its main feature.
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.
The extra CSV random dataset plugin could be integrated with a simple checkbox in the existing CSV dataset plugin to read files randomly.
The licensing cost is also a concern since BlazeMeter is not free like JMeter, which limits its use.
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.
BlazeMeter requires licensing, which means it is not free like JMeter, adding to the setup cost considerations.
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.
BlazeMeter integrates with JMeter via multiple plugins, which streamlines performance testing, test monitoring, and report sharing.
BlazeMeter offers a higher limit on load simulation compared to standalone JMeter.
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.
| Product | Market Share (%) |
|---|---|
| BlazeMeter | 7.5% |
| OpenText Core Performance Engineering (LoadRunner Cloud) | 9.3% |
| Other | 83.2% |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 9 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 8 |
| Large Enterprise | 29 |
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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