

IBM Engineering Test Management and Tricentis qTest offer distinct advantages depending on user needs and competes within the test management category. Users indicate Tricentis qTest has the upper hand due to its seamless automation capabilities.
Features: IBM Engineering Test Management is valued for its comprehensive test planning, coverage analysis, and integration with other IBM tools. Tricentis qTest stands out for its powerful test automation, easy-to-use dashboards, and extensive reporting features. Users find Tricentis qTest more feature-rich and intuitive, particularly in automation capabilities.
Room for Improvement: Users suggest IBM Engineering Test Management could enhance its reporting tools and simplify some complex features. Tricentis qTest users point to occasional stability issues and the need for more robust customer support.
Ease of Deployment and Customer Service: IBM Engineering Test Management is noted for its detailed documentation and reliable customer support, making the deployment process smoother. Tricentis qTest receives mixed reviews regarding deployment ease, with some users experiencing initial setup challenges. Customer service for Tricentis qTest is less consistent compared to IBM.
Pricing and ROI: IBM Engineering Test Management has a higher initial setup cost but offers solid long-term ROI through its extensive integration features. Tricentis qTest is perceived as providing better value for money despite its occasional higher recurring costs, driven by its ease of use and quality automation features.
Due to the fast adoption, there is a quick ROI along with faster and better maintenance due to Tosca's AI and self-healing aspects.
Support has never been an issue, except for consulting which Tricentis charges for.
As for stability and performance, apart from a few hiccups and glitches, Tricentis qTest worked fine.
There may be missing features that should be included in the next release of Tricentis qTest, such as integration with other tools, specifically integration with Parasoft.
It also does not allow for task tracking or calculating time spent on tasks, which affects project timelines.
The solution is expensive.
The pricing and execution of qTest are easy.
There are also AI insights available based on the data and defects raised, which gives a view of functionalities where there are challenges and where more regression needs to happen.
A valuable feature is the ease of uploading, as well as creating folders.
I have seen measurable benefits with Tricentis qTest in terms of time-saving and resource-saving.
| Product | Market Share (%) |
|---|---|
| Tricentis qTest | 14.4% |
| IBM Engineering Test Management | 2.4% |
| Other | 83.2% |

| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 3 |
| Large Enterprise | 14 |
IBM Engineering Test Management (ETM), formerly known as IBM Rational® Quality Manager (RQM), is a business-driven software quality environment designed for collaborative and customizable test planning, workflow control, tracking, and metrics reporting. When integrated with IBM DevOps Test Embedded (Test Embedded), ETM allows users to create test environments and scripts, deploy and run tests, and view HTML reports. This integration enables the creation of ETM test environments linked to Test Embedded target deployment ports, the deployment and execution of Test Embedded tests through the ETM interface, and the mapping of ETM test scripts to Test Embedded test suites. Additionally, users can import test suites as ETM test scripts, build new ETM test cases, and view test results as HTML reports within ETM. The integration requires the Test Embedded adapter service to be running on the user's computer.
Tricentis is the global leader in enterprise continuous testing, widely credited for reinventing software testing for DevOps, cloud, and enterprise applications. The Tricentis AI-based, continuous testing platform provides a new and fundamentally different way to perform software testing. An approach that’s totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality.
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