

OpenText LoadRunner Cloud and ReadyAPI are tools for performance and API testing. LoadRunner Cloud has the upper hand in large-scale performance testing due to its scalability and dynamic licensing. ReadyAPI is preferred for API testing because of its intuitive interface and integration capabilities.
Features: LoadRunner Cloud provides up to 900,000 concurrent virtual users without a physical setup, supports script reuse, and offers real-time analytics. It integrates with monitoring tools, facilitating easy setup and execution of globally distributed load tests. ReadyAPI simplifies API testing with automation and integration with CI/CD systems, making it easier for quick, data-driven testing.
Room for Improvement: LoadRunner Cloud could benefit from enhanced reporting, faster script handling, and improved AI-driven strategies. Technical support responsiveness and script conversion tools also need refinement. ReadyAPI needs better cloud integration, broader database support, and more customizable reporting options. Enhancing its security testing capabilities and CI pipeline integration is recommended.
Ease of Deployment and Customer Service: LoadRunner Cloud allows flexible deployments on public and hybrid clouds and is regarded for its solid customer service despite specialized request delays. ReadyAPI is typically on-premises, praised for its exceptional customer service and proactive technical support, although it could improve support efficiency.
Pricing and ROI: LoadRunner Cloud's usage-based model offers cost savings and ROI, though it's costlier compared to some SaaS products. Its flexibility reduces upfront costs. ReadyAPI is more affordable with competitive pricing but requires extra licenses for more features. Both tools provide substantial ROI depending on specific use cases.
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.
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.
SmartBear had an ALM tool that helped manage project documentation, including Jira-related specifications, test plans, and test cases.
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.
I rate ReadyAPI between five to six for scalability due to complexities associated with scripting.
ReadyAPI's performance testing capabilities can impact API scalability assessments.
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.
Once all configurations and preparations are done, it is very stable.
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.
One issue I found with ReadyAPI is related to event listeners compared to JMeter or SoapUI.
I'm considering the use of AWS and its Lambda functionalities prepared by the vendor.
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.
The pricing of ReadyAPI is reasonable, considering its functionality compared to other tools in the market.
Currently, we don't extensively use the performance testing due to license costs.
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.
It also aids in faster feedback to developers, allowing them to implement developments in a sprint without the need for extensive testing afterwards, thus improving our time to market metrics.
ReadyAPI is valuable for web service automation and allowing us to generate test cases and automate processes.
I consider ReadyAPI a cost-effective solution because it covers three verticals without needing to purchase separate tools for security, performance, or functional testing.
| Product | Mindshare (%) |
|---|---|
| OpenText Core Performance Engineering (LoadRunner Cloud) | 7.8% |
| ReadyAPI | 3.2% |
| Other | 89.0% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 9 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 5 |
| Large Enterprise | 28 |
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.
ReadyAPI stands out for its API testing capabilities and integration with development tools like Jira and Git. Its user-friendly interface and automation with Groovy scripting make it a suitable, efficient choice for developers aiming for seamless project management and test execution.
ReadyAPI presents a comprehensive suite for API testing, supporting functional, performance, and security tasks with minimal coding required. It offers robust integration with tools such as Postman and CI/CD processes, enabling users to manage and automate testing scenarios efficiently. Despite its strengths, users notice limitations in performance and cloud integration, especially in scalability and test management. While it facilitates data-driven testing through Excel and supports on-premise and cloud environments, ReadyAPI could benefit from improved reporting and simpler scripting processes. Its interface and GitHub integration would further enhance its adaptability for larger projects and diverse applications.
What are ReadyAPI's main features?ReadyAPI is principally leveraged by industries that require precise API testing capabilities, spanning functional, performance, and security assessments. Its ease of integrating with CI/CD tools and ability to manage backend APIs make it an ideal choice in sectors that prioritize automation and reliability in testing processes. Companies operating within on-premise and cloud environments benefit from its support for diverse testing needs and scenarios, ensuring improved testing proficiency and response validation.
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