Find out what your peers are saying about Apache, Perforce, Tricentis and others in Performance Testing Tools.
With Apache JMeter, I have gained great statistics for performance and server metrics.
The support for Apache JMeter is excellent.
Apache JMeter has strong support through its vast Java-based community on platforms like Stack Overflow.
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.
APICa is scalable.
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.
Apache JMeter is really good for REST APIs.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
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.
Apache JMeter is completely free as it is open-source.
It's a cost-effective solution.
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.
Despite being open source, it offers features comparable to paid tools.
We can add a large number of listeners that are freely available, and the multiple thread groups allow us to mimic real-time production scenarios with virtual users.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
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.”
Apica leads in observability cost optimization, empowering IT teams to manage telemetry data economics efficiently. It supports various data types, reducing costs by 40% with flexible deployment options and eliminating tool sprawl through modular solutions.
Apica Ascent optimizes observability costs across metrics, logs, traces, and events and provides adaptability beyond proprietary formats. Its patented InstaStore™ technology ensures maximum storage efficiency and advanced root cause analysis. Organizations leverage Apica for comprehensive control over observability investments, reducing runaway costs. With solutions for mitigating high-cardinality data challenges, Apica supports any data lake preference and offers cloud or on-premises deployments. Its modular solutions eliminate unnecessary tool redundancies, enhancing economic efficiency in telemetry data management.
What features define Apica's capabilities?Apica addresses industry needs in monitoring and testing applications, enhancing user experience across sectors. It is instrumental in synthetic checks, load testing, API monitoring, and validating functionalities for stability in gaming, finance, eCommerce, and banking platforms. Apica's versatility supports both on-premises and cloud environments, ensuring accurate insights into service availability and network performance.
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