Parasoft SOAtest and Apache JMeter are leading tools in the software testing industry. Parasoft SOAtest seems to have the upper hand due to its comprehensive features and strong customer support, while Apache JMeter is appreciated for its cost-effectiveness and flexibility.
Features: Parasoft SOAtest offers robust API testing, automated report generation, and advanced support for continuous integration. Apache JMeter stands out with its load testing capabilities, ease of integration with various plugins, and open-source flexibility. Users find Parasoft SOAtest more feature-rich but acknowledge JMeter's extensive adaptability.
Room for Improvement: Users of Parasoft SOAtest desire better integration with certain third-party tools and improvements in testing speed. Apache JMeter users often mention the need for a more intuitive interface and enhanced support for newer protocols. Both tools show specific areas where enhancements can make them more efficient, with Parasoft focusing on integration and JMeter on usability.
Ease of Deployment and Customer Service: Parasoft SOAtest is regarded for its straightforward deployment process and excellent customer support, with users noting quick responses and helpful guidance. Apache JMeter users find deployment simple but often manage it independently due to community support. Parasoft's professional support provides an edge over JMeter's community-driven assistance.
Pricing and ROI: Parasoft SOAtest has a higher initial setup cost, which some users feel is justified by its advanced features and strong ROI over time. Apache JMeter, being free and open source, provides an immediate cost advantage, with users typically investing only in customization and scalability efforts. Despite the higher price, Parasoft SOAtest users report better ROI due to its reliability and support.
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.”
Parasoft SOAtest delivers fully integrated API and web service testing capabilities that automate end-to-end functional API testing. Streamline automated testing with advanced codeless test creation for applications with multiple interfaces (REST & SOAP APIs, microservices, databases, and more).
SOAtest reduces the risk of security breaches and performance outages by transforming functional testing artifacts into security and load equivalents. Such reuse, along with continuous monitoring of APIs for change, allows faster and more efficient testing.
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