OpenText Enterprise Performance Engineering and Apache JMeter compete in the performance testing software market. OpenText has an edge in extensive enterprise-level testing, whereas JMeter excels in cost-effectiveness and simplicity.
Features: OpenText Enterprise Performance Engineering supports advanced reporting, scheduling, and multi-project execution. It integrates with Application Lifecycle Management and optimizes resources across time zones. Apache JMeter, with its open-source nature, provides ease of setup, flexibility through community-driven plugins, and is particularly strong in web and API testing.
Room for Improvement: OpenText Enterprise Performance Engineering could enhance cloud integration, reporting capabilities, and DevOps support. Users find the UI and certain integrations cumbersome, requiring improvements in support responsiveness. Apache JMeter needs better GUI stability, improved handling of large loads, and enhanced integration support for advanced testing scenarios.
Ease of Deployment and Customer Service: OpenText offers primarily on-premises deployment with hybrid and private cloud options suitable for complex infrastructures. Its customer service is generally favorable but could improve in response times. JMeter allows flexible deployment across on-premises, public cloud, and hybrid environments. While community engagement is strong, official support could be enhanced.
Pricing and ROI: OpenText Enterprise Performance Engineering is costly, particularly for high-end protocols, but promises high ROI by preventing downtimes and maintaining system integrity for enterprises with extensive testing requirements. Apache JMeter is free and open-source, appealing to budget-conscious organizations, though its support services are limited compared to commercial options.
With Apache JMeter, I have gained great statistics for performance and server metrics.
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.
JMeter is highly scalable, easily handling increased loads through the use of multiple servers.
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 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.
Apache JMeter could be significantly enhanced by the integration of BDD frameworks.
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.
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.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
Despite being open source, it offers features comparable to paid tools.
Apache JMeter helps my testing analysis by providing precise reports; the HTML format report gives me the exact transactions, response times, and graphs that show average response times, as well as throughput per second.
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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