Apache JMeter and OpenText LoadRunner Cloud are prominent competitors in the load testing tools category. OpenText LoadRunner Cloud appears to have an advantage with its integrated features and comprehensive protocol support, making it apt for large-scale testing environments. However, Apache JMeter is often preferred for budget-conscious users due to its open-source nature and cost-effectiveness.
Features: Apache JMeter offers platform independence, a wide range of plugins, and robust community support, making it versatile for smaller projects. OpenText LoadRunner Cloud provides scalability, geographical load distribution, and real-time anomaly detection, beneficial for enterprise-grade testing.
Room for Improvement: Apache JMeter could improve in GUI stability, concurrent user support, and error handling in complex scenarios. Enhancements in report customization and integration support for newer languages and protocols are needed. OpenText LoadRunner Cloud might benefit from refined report customization, better control over load patterns, and cost reductions for broader accessibility.
Ease of Deployment and Customer Service: Apache JMeter is flexible across various cloud environments but depends heavily on a community-based support system. OpenText LoadRunner Cloud offers structured technical support with centralized customer service, contrasting JMeter's reliance on community forums.
Pricing and ROI: Apache JMeter offers a high ROI for lower-scale applications due to its cost-free open-source model, appealing to organizations without extensive scale requirements. LoadRunner Cloud, while feature-rich, demands higher costs, especially in pay-per-use formats, making it suitable mainly for enterprises needing scalable and full-feature testing tools.
With Apache JMeter, I have gained great statistics for performance and server metrics.
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.
Apache JMeter has strong support through its vast Java-based community on platforms like Stack Overflow.
The support for Apache JMeter is excellent.
Apache JMeter relies more on community support.
This restricts the number of users and necessitates increasing load agents or distributing the script across multiple machines.
For backend automation and performance testing with web services, web APIs, and queue management systems, I would rate Apache JMeter's scalability as between eight and nine.
JMeter is highly scalable, easily handling increased loads through the use of multiple servers.
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.
JMeter performs exceptionally well, especially in non-GUI mode, which supports high loads efficiently.
Several necessary features still need improvements, specifically in terms of reports and additional functionalities compared to other commercial tools.
OpenText LoadRunner Cloud is extremely stable for our use case.
Currently, we need to use multiple separate JMeter instances to simulate reductions in load, which isn't ideal.
Apache JMeter could be significantly enhanced by the integration of BDD frameworks.
Automating report analysis and supporting customized SLAs for script report generation could also enhance functionality.
It would also be convenient if there were options to convert scripts from competitor tools like NeoLoad to LoadRunner.
Using JMeter helps us avoid additional costs for high-load testing since it is open-source and allows for unlimited virtual users at no extra cost.
It's a cost-effective solution.
Apache JMeter is completely free as it is open-source.
It's delivering functionality, but we also use JMeter, which is free.
Despite being open source, it offers features comparable to paid tools.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
Monetary benefits with Apache JMeter are notable since it doesn’t require a licensed version.
Another valuable aspect is the option to use JMX files, similar to JMeter scripts, with LoadRunner.
Its LoadRunner functionality allows us to record a solution's networking protocol and replay them.
Apache JMeter is an open-source Java application that tests load and functional behavior and performance in applications. Created initially to test web applications, it has expanded its functionality to test other functions. For instance, you can test a server to see how efficiently it works and how many user requests can be handled simultaneously.
You can use JMeter to test functional performance and regression tests on different technologies. This Java desktop application has an easy-to-use graphical interface which uses the Swing graphical API. You can run JMeter on any environment that accepts a Java virtual machine, such as Windows, Linux, and Mac.
What protocols does JMeter support?
How does JMeter work?
JMeter sends requests to a target server by simulating a group of user requests. Then it collects and calculates statistics on the performance of the target. This target can be a server or an application.
You can test the performance of static resources, such as JavaScript or HTML, and dynamic resources, such as JSP, Servlets, and AJAX. It is also helpful to determine how many concurrent users your website can handle.
There are two main tests you can carry out with JMeter: load test and stress test. The load test models expected usage of a server by simulating multiple users accessing the web server simultaneously. The stress testing aims to find the maximum load capacity of the server or application.
Apache JMeter Key Features
Apache JMeter Benefits
The JMeter extensible core has numerous benefits:
Reviews from Real Users
Stephen B., I.T. Architect, Analyst, and Developer at an educational organization, says, "The scripting ability is most valuable. It is easy to use. There is a UI, and you can go in there and figure those things out. After you've got a good set of tests, you basically have a scripted document that you can grab and execute in a pipeline. It is pretty quick to set up, and you can scale it and version control it."
"I like the fact that JMeter integrates well with other tools," adds the Founder and Principal Consultant at a tech services company.
A Quality Engineering Delivery Leader at a financial services firm says, “The performance of the solution is excellent. They have designed the product so that it is very easy to configure. You can basically do anything you like with the product. It's not very restrictive. We like the fact that the technology is open-source.”
We monitor all Performance Testing Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
