Tricentis Tosca and Apache JMeter are prominent software testing tools competing in the software testing category. Tosca seems to have an upper hand in ease of use and support, while JMeter enjoys favor due to its feature set and cost-efficiency.
Features: Tricentis Tosca is known for its automated functional and regression testing capabilities, strong test case design, and maintenance. Apache JMeter stands out for its performance testing, ability to handle a large volume of tests efficiently, and extensive feature set.
Room for Improvement: Users of Tricentis Tosca want better integration with other DevOps tools, enhanced reporting features, and user-friendly interface improvements. Apache JMeter users suggest improvements for a more intuitive setup, better graphical representation of test results, and easier configuration processes.
Ease of Deployment and Customer Service: Tricentis Tosca is noted for its straightforward deployment and strong customer support, while Apache JMeter, though having a steeper learning curve, benefits from an active community support system.
Pricing and ROI: Tricentis Tosca has a higher initial setup cost but offers significant ROI through its comprehensive testing capabilities and reduced maintenance time. Apache JMeter, being open-source, has minimal setup costs and provides good ROI for performance testing applications.
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.
There is no way to mark the importance or criticality of incidents when creating them.
Response through chat has been replaced by chatbots, which has impacted the experience.
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.
I find stability issues when using the Vision AI feature; Tricentis Tosca is not very stable.
Enabling the conversion of scripts from commercial tools like LoadRunner or NeoLoad into JMeter scripts would also be advantageous.
Apache JMeter could be significantly enhanced by the integration of BDD frameworks.
With BlazeMeter, you can view the results in real-time.
Moving to a cloud-based application rather than a desktop one could improve Tosca.
The Vision AI implementation works very slowly, affecting the speed of our work.
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.
A yearly license costs around 20,000 euros.
For enterprise customers, the cost is manageable because it provides solutions for multiple applications they want to automate.
Despite being open source, it offers features comparable to paid tools.
Monetary benefits with Apache JMeter are notable since it doesn’t require a licensed version.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
It allows for drag-and-drop functionality and demo automation in SAP-based applications, which can be challenging with other automation tools.
The most useful features of Tricentis Tosca include API scanning, basic web application automation, and data validation capabilities.
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.”
Tricentis Tosca is primarily leveraged for test automation across web, SAP, API, and mainframe applications, offering robust support for both regression and functional testing.
Tricentis Tosca's test automation capabilities extend to front-end and back-end testing, including processes like RPA and UI-based regression tests on Microsoft Windows. It supports Agile environments with multiple applications, enabling Salesforce automation, API endpoints, and end-to-end automation workflows. Tosca caters to diverse testing needs, integrating well with tools like Jenkins and Bamboo, although upgrades and customizations present challenges. Licensing costs and performance issues during loading and scanning are concerns, along with substantial learning curves for new users. Enhanced AI features and better reporting are on users' wishlist.
What are the key features of Tricentis Tosca?Tricentis Tosca is implemented across various industries, serving sectors like finance, healthcare, and retail with test automation solutions to ensure application quality and reliability. Agile teams in these industries benefit from its multi-application support and ability to manage complex end-to-end testing workflows. The tool's integration capabilities are particularly useful in environments that rely on CI/CD pipelines, ensuring continuous testing and quick feedback loops.
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