IBM Engineering Test Management and Apache JMeter compete in software testing and performance management. IBM Engineering Test Management holds an advantage in integration and enterprise-level services, while Apache JMeter is favored for features and cost-effectiveness.
Features:IBM Engineering Test Management provides robust test planning and tracking, integrated reporting, and collaboration tools ideal for large-scale projects. Apache JMeter offers load testing and performance evaluation with comprehensive protocol support and extensibility through plugins. The main distinction is IBM's focus on management and coordination, while JMeter emphasizes performance testing.
Room for Improvement:IBM Engineering Test Management could improve by simplifying deployment, lowering initial costs, and enhancing its user interface for wider accessibility. Apache JMeter may require enhanced customer support, improved user interface intuitiveness, and expanded documentation for advanced features to reduce the learning curve.
Ease of Deployment and Customer Service:IBM Engineering Test Management is part of IBM's suite, requiring significant deployment effort and investment, supported by IBM's extensive service infrastructure. Apache JMeter is simple to deploy for those with technical expertise, leveraging strong community support, but lacks the professional guidance level of IBM.
Pricing and ROI:IBM Engineering Test Management entails higher setup costs with enterprise-grade capacity and licensing fees, offering a significant return on investment through enhanced productivity and reduced test management errors. Apache JMeter provides rapid ROI with zero licensing fees, offering cost-effective access to robust performance testing tools.
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.”
IBM Engineering Test Management (ETM), formerly known as IBM Rational® Quality Manager (RQM), is a business-driven software quality environment designed for collaborative and customizable test planning, workflow control, tracking, and metrics reporting. When integrated with IBM DevOps Test Embedded (Test Embedded), ETM allows users to create test environments and scripts, deploy and run tests, and view HTML reports. This integration enables the creation of ETM test environments linked to Test Embedded target deployment ports, the deployment and execution of Test Embedded tests through the ETM interface, and the mapping of ETM test scripts to Test Embedded test suites. Additionally, users can import test suites as ETM test scripts, build new ETM test cases, and view test results as HTML reports within ETM. The integration requires the Test Embedded adapter service to be running on the user's computer.
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