

OpenText Functional Testing and algoQA compete in software testing solutions, with algoQA having a slight edge due to its advanced features while OpenText is preferred for its pricing and support.
Features: OpenText Functional Testing provides robust script maintenance, cross-platform support, and fundamental testing capabilities. In contrast, algoQA offers machine learning capabilities, seamless integration with agile workflows, and innovative features advantageous for agile environments.
Ease of Deployment and Customer Service: OpenText Functional Testing involves a straightforward deployment process with comprehensive customer service, emphasizing direct interaction. algoQA offers a flexible deployment model, including cloud-based options, but lacks immediate support accessibility.
Pricing and ROI: OpenText Functional Testing is cost-effective, ensuring a solid return on investment with moderate setup expenses, appealing to budget-conscious buyers. algoQA requires a higher initial investment but provides significant ROI through enhanced efficiency and feature-rich performance, considered a worthwhile investment for long-term growth.
Based on my experience, algoQA helps me save development and testing time, improve productivity, and complete automation tasks more efficiently.
Our team has seen a return on investment by saving time when creating automation scripts in a fraction of the time.
We have significantly saved time and effort since we can now complete multiple test cases in a single day.
The development time using UFT can be cut down into half as compared to coding from scratch.
We can easily achieve a return on investment in one, two, or three years.
When I need to connect with them, they can arrange meetings and clarify issues within minutes.
I would rate algoQA customer support 10 out of 10 because the team is helpful and responsive whenever I report issues or need clarification.
I have had good experiences reaching out for information, and they provide necessary support.
After creating a ticket, it takes three to five days for them to acknowledge it and then send it to somebody.
The technical support is rated eight out of ten.
I would rate the support for this product a seven on a scale of one to ten.
We can automate around 40 test cases in just two days with fewer people.
I am not getting any errors, and it is a very good experience using algoQA.
Whatever scenario I need, it provides high-quality scripts.
Running them in parallel allows you to consume multiple runtime licenses and just execute the tests that don't have conflicting priorities and get through a lot of volume much quicker.
algoQA has been stable for me; I haven't experienced any downtime or issues.
One of the key stability issues was that Windows would consume memory without releasing it, leading to regression testing crashes.
AlgoQA supports integration with all major running frameworks in the industry, including DevOps tools and ALM tools.
Better integration with tools like Jenkins, Git, and other CI/CD platforms would make it easier to include automation in the continuous testing process.
algoQA can improve the AI capabilities further.
If it could move closer to a no-code or low-code solution, it might dominate the market again.
We frequently encountered stability issues when the browser dependency caused Windows to consume memory without releasing it, leading to crashes during regression testing.
Reducing the levels of support is something they could continue to improve.
My experience with pricing, setup cost, and licensing is that it's quite cheaper.
If I get any license error, they can provide the resolution within minutes.
This can help reduce the need for separate tools and manual effort.
The pricing or licensing policy of OpenText is a bit expensive, however, it's one of the best solutions in the market.
There are many open-source tools with no cost, and there are no-code tools that are less expensive than UFT.
The best features algoQA offers are that all the scripts it generates are context-aware scripts rather than generic scripts for all use cases.
The best features algoQA offers in my experience are the Sketch agent, Test Authoring agent, test optimization agent, impact-based testing, and auto-healing capabilities.
Test Authoring agent generates test scenarios and test cases, improving test coverage and removing manual effort.
UFT supports Oracle, SAP, PeopleSoft, and other non-web applications, making automation feasible.
OpenText UFT One offered valuable features by allowing us to build up libraries to streamline repetitive tasks, making scripting much easier.
The best features of OpenText Functional Testing include descriptive programming, the ability to add objects in the repository, and its ease of use for UI compared to other tools.
| Product | Mindshare (%) |
|---|---|
| OpenText Functional Testing | 8.5% |
| algoQA | 0.5% |
| Other | 91.0% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 13 |
| Large Enterprise | 74 |
algoQA is an AI-Augmented Autonomous Quality Engineering Platform for web, mobile, desktop, hybrid and embedded applications, as well as UIs and APIs. It combines generative and agentic AI to help teams design, run, analyse, and maintain software tests. Engineers can review AI-generated work and decide what to run.
Why do teams use algoQA?
QA and engineering teams use algoQA to build automation for new applications, strengthen regression coverage for existing products, and migrate legacy test suites to new frameworks. It helps teams keep tests up to date as applications change and gives them visibility into what was tested before a release.
What are its key features?
What value does algoQA deliver?
algoQA helps teams spend less time writing and maintaining scripts, go to market faster, and extend coverage across releases. 5X Less maintenance effort, 3X lesser Regression cycles, and 95% fewer defects reaching to production.
OpenText Functional Testing is designed for ease of use, featuring strong object identification, AI capabilities, and multi-platform integration. Its VBScript simplicity and cross-browser, mobile support make it versatile for handling UI and API tests.
OpenText Functional Testing provides a seamless testing experience with powerful automation capabilities. Its integration with technologies like SAP and Oracle, combined with record and playback features, makes it a go-to tool for comprehensive testing environments. Users find value in its flexibility to streamline both UI and API tests. Challenges include high costs and resource usage, and there's a demand for broader programming language support and improved integration with CI/CD pipelines. Enhanced AI functionalities and better documentation are also requested.
What are the key features of OpenText Functional Testing?OpenText Functional Testing is utilized in industries requiring robust testing frameworks like finance and healthcare. Companies automate web, desktop, and API applications, perform functional tests, and handle validations. Its adaptability to integration and broad technology support facilitates diverse testing needs.
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