OpenText Enterprise Performance Engineering (LoadRunner Enterprise) and Apache JMeter compete in the performance testing tools category. LoadRunner Enterprise seems to have the upper hand for large enterprises due to its extensive protocol support and integration capabilities, while JMeter is more accessible for smaller projects due to its cost-effectiveness and ease of use.
Features: LoadRunner Enterprise offers comprehensive features like robust reporting, scheduling, and integration with ALM. It supports a wide range of protocols and provides detailed analysis capabilities, making it adaptable to diverse enterprise needs. On the other hand, JMeter is favored for its simplicity, open-source nature, and ease of use, especially for users with no programming background. It integrates well with CI/CD pipelines, supports multiple plugins, and is noted for its strong API testing capabilities.
Room for Improvement: LoadRunner Enterprise could benefit from a more responsive UI, better cloud integration, and enhanced real-time analysis capabilities. High memory consumption and complex scripting are areas to improve. JMeter requires enhancements in reporting features, better automation integration, and improvements in handling larger loads, which can cause crashes. Users also seek more intuitive UI updates and comprehensive support documentation.
Ease of Deployment and Customer Service: LoadRunner Enterprise's deployment can be complex and often requires tailored support, available across both on-premises and cloud setups. Customer service experiences vary, with some users reporting efficient support and others facing delays. Apache JMeter allows for straightforward deployment with a focus on on-premise and hybrid cloud environments. Its open-source community offers valuable support, although professional assistance can be less responsive than enterprise-grade options. LoadRunner's proprietary technology necessitates more intricate deployments compared to JMeter's simpler setups.
Pricing and ROI: LoadRunner Enterprise is generally expensive, necessitating careful license optimization. It promises high ROI through comprehensive testing capabilities, especially in enterprises, although upfront costs remain high. Apache JMeter, being open-source, offers significant cost savings, allowing limitless load generation without additional fees and providing a compelling value proposition for smaller projects. Users often use JMeter for performance testing and can scale through third-party services for enhanced capabilities.
The support for Apache JMeter is excellent.
Apache JMeter relies more on community support.
JMeter is highly scalable, easily handling increased loads through the use of multiple servers.
This restricts the number of users and necessitates increasing load agents or distributing the script across multiple machines.
Without location dependency, it's rated ten out of ten, but with dependency, it can be six out of ten.
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.
Enabling the conversion of scripts from commercial tools like LoadRunner or NeoLoad into JMeter scripts would also be advantageous.
With BlazeMeter, you can view the results in real-time.
Automating report analysis and supporting customized SLAs for script report generation could also enhance functionality.
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 useful for both the person conducting the test and the higher management, like project managers or senior executives, who may not know about the test.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
Despite being open source, it offers features comparable to paid tools.
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.”
OpenText Enterprise Performance Engineering (LoadRunner Enterprise) provides robust performance testing capabilities with scalable and user-friendly tools. It supports multiple protocols for diverse applications, ensuring reliable and comprehensive performance metrics for organizations.
Designed for extensive performance testing, OpenText Enterprise Performance Engineering offers advanced integration features and global testing capabilities. Users value its ease of scheduling, detailed analysis, and efficient resource management. It simulates real-world scenarios to deliver valuable metrics across industries. Its intuitive interface, while needing smoother navigation, aligns with its flexibility and versatility. Enhanced reporting and cloud-based integration, especially with AWS, are potential growth areas alongside improved third-party tool integration and technical support.
What are the key features of OpenText Enterprise Performance Engineering?OpenText Enterprise Performance Engineering is implemented in banking, healthcare, and retail industries, assisting in load, stress, and performance testing. Organizations utilize its capabilities for validating web, API, cloud, ERP, and Citrix applications, ensuring reliability with comprehensive metrics for large-scale user handling.
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