

Apache JMeter and Tricentis NeoLoad compete in the performance testing category. JMeter has the edge with its cost-effectiveness due to being open-source, whereas NeoLoad shines in ease of use with robust cloud integration.
Features: JMeter is known for its extensive plugin support, allowing versatile testing of web applications and APIs. Its easy scripting and open-source nature make it popular among developers. NeoLoad stands out with its simpler scripting experience, cloud integration, and real-time monitoring capabilities, making it ideal for teams seeking quick setup and execution.
Room for Improvement: JMeter could improve in handling large loads and simplifying its user interface while enhancing multi-thread capabilities. Better scalability and report automation are also needed. NeoLoad needs to expand its protocol support and enhance its integration with CI/CD pipelines. Increasing its scripting flexibility to support more protocols would also be beneficial.
Ease of Deployment and Customer Service: JMeter is mainly used on-premises but can operate in cloud environments with community support, as it lacks official technical support. NeoLoad offers flexible deployment options, both on-premises and cloud, and benefits from structured technical support and a streamlined user experience.
Pricing and ROI: JMeter is free to use, providing a budget-friendly option for cost-conscious teams due to its open-source nature. NeoLoad, despite higher operational costs, offers flexible pricing models suitable for various testing needs, considered more cost-effective than tools like LoadRunner.
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.
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.
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.
The effect of the new license policy is that NeoLoad becomes more and more unattractive for smaller companies, and only bigger companies are interested or find the license fee fair.
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.
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.
Most graphs can be configured with drag-and-drop, which is handy, and you get graphs suitable for reporting issues.
| Product | Mindshare (%) |
|---|---|
| Apache JMeter | 10.4% |
| Tricentis NeoLoad | 10.7% |
| Other | 78.9% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 25 |
| Large Enterprise | 56 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
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.
Tricentis NeoLoad is designed for performance and load testing, allowing teams to collaborate effectively, even across different locations. Its user-centric interface supports various protocols and seamlessly integrates with tools like Jenkins and Tableau.
Tricentis NeoLoad streamlines performance testing by offering an adaptable environment for distributed teams. The tool is noted for its comprehensive analysis capabilities, user-friendly interface, and support for mobile and cloud testing. It also provides cost-effective scalability compared to competitors such as LoadRunner. However, areas for improvement include enhanced protocol support, interface and reporting upgrades, and better integration with CI/CD pipelines. Users have noted stability issues with large projects and challenges with concurrent script editing. Enhancing customer service, licensing options, and documentation could further improve user experience.
What features make Tricentis NeoLoad stand out?Tricentis NeoLoad is primarily utilized in web application and SAP GUI testing, focusing on performance in QA and production settings. It supports real-world simulation for web services and APIs, proving especially beneficial in industries demanding robust system behavior monitoring and application scaling. Catering to on-premise and SaaS deployments, it integrates into CI/CD pipelines, enhancing testing efficiency across sectors.
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