

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.
With Apache JMeter, I have gained great statistics for performance and server metrics.
I have not seen a return on investment right now, as there is no improvement in Apache JMeter and reduction in cost, but I save time and reduce costs with Apache JMeter.
We found Parasoft SOAtest to be quick in building up test patterns, allowing us to create complex tests efficiently.
Tasks that previously took four or five minutes can now be completed in 20 to 30 seconds with the help of the tool.
With AI models ChatGPT, troubleshooting issues has become very easy for us.
The support for Apache JMeter is excellent.
Apache JMeter has strong support through its vast Java-based community on platforms like Stack Overflow.
We do have some methods where we can distribute the complete load between multiple systems and then try to do our testing.
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.
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.
Previous versions of Apache JMeter were a little unstable, but the new versions are very stable.
In particular use cases with numerous steps, it experiences crashes.
With AI becoming more prominent, they can implement features where it can generate code by itself based on the results or provide suggestions.
Currently, we need to use multiple separate JMeter instances to simulate reductions in load, which isn't ideal.
The tool needs improvements related to client-side metrics, integrating with tools like YSlow or HTTP Watch, and enhancing mobile testing capabilities.
It did not support enough of the protocols or cryptography formats we needed, which led us to create our own solutions.
One improvement would be to integrate it with modern technologies such as AI, so we can generate test cases by providing the details so that it can generate the structure, and later the person working can modify and enhance it.
In terms of improvements for Parasoft SOAtest, some features could be added or perhaps existing areas could be improved, such as lowering prices.
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.
My experience with pricing, setup cost, and licensing is that the cost and license are free because Apache JMeter is open source.
It's a cost-effective solution.
Parasoft SOAtest is expensive, but it was acquired because the company was dissatisfied with Quick Test Pro.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
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.
Parasoft SOAtest is very good at ensuring tests don't pass or fail until they genuinely pass or fail.
Parasoft SOAtest improves the quality of the application, increases security and security compliance, and it is a cost-effective tool.
The best feature of Parasoft SOAtest is the extension tool where we can write our custom scripts.
| Product | Mindshare (%) |
|---|---|
| Apache JMeter | 6.2% |
| Parasoft SOAtest | 5.2% |
| Other | 88.6% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 25 |
| Large Enterprise | 56 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 3 |
| Large Enterprise | 23 |
Apache JMeter is a versatile, open-source tool designed for performance and load testing, widely recognized for its user-friendly interface and robust test automation capabilities. It supports a range of protocols and integrates seamlessly into various environments, making it ideal for high-load scenarios.
Apache JMeter stands out in performance testing for its ability to handle high transactions per second and perform distributed load testing effectively. Its open-source nature and cost-effectiveness are enhanced by its user-friendly GUI, which simplifies the testing process. Despite memory consumption concerns, Apache JMeter remains a top choice due to its large community support, comprehensive scripting capabilities, and easy integration with CI/CD pipelines, allowing for continuous automated testing. Its robust protocol support meets diverse testing needs.
What are Apache JMeter's key features?In industries like finance and banking, Apache JMeter is used extensively for performance validation to ensure system robustness under heavy user loads. It's integrated into CI/CD pipelines for automated testing processes, allowing organizations to simulate real-world scenarios and ensure high-performance standards.
Parasoft SOAtest is a robust tool for automating test scenarios, supporting a range of interfaces and protocols, making it ideal for comprehensive service testing. Its adaptability in complex environments provides extensive testing capabilities for UI and API automation.
Parasoft SOAtest offers a comprehensive suite of features designed for the efficient setup of functional tests, emphasizing ease in data-driven scenarios and thorough automation. Supporting key protocols like SOAP and REST, alongside UI recording, it integrates seamlessly with Jenkins and GitHub, adding service virtualization for enhanced end-to-end testing. Users benefit from its extensibility through custom scripts, allowing broad API and web service testing. However, there are challenges in user-friendliness, with the graphical interface requiring improvements. Reporting features need enhanced clarity and customization options. Limited cryptography support and documentation necessitate improvement. Performance issues and high pricing are noted drawbacks, but its use in banking and quality enhancement demonstrates significant potential.
What are the key features of Parasoft SOAtest?Implementing Parasoft SOAtest in industries like banking allows automation of regression tests for web services in SOA architectures, supporting protocols such as ISO 8583. Companies use it to transition from manual testing to automation, integrating JSON and XML, facilitating improved application quality.
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