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Digital.ai Continuous Testing vs OpenText Functional Testing for Developers comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Digital.ai Continuous Testing
Ranking in Test Automation Tools
10th
Average Rating
7.6
Reviews Sentiment
4.9
Number of Reviews
7
Ranking in other categories
Mobile App Testing Tools (3rd), AI-Augmented Software-Testing Tools (3rd)
OpenText Functional Testing...
Ranking in Test Automation Tools
7th
Average Rating
7.4
Reviews Sentiment
6.4
Number of Reviews
39
Ranking in other categories
Functional Testing Tools (9th)
 

Mindshare comparison

As of June 2026, in the Test Automation Tools category, the mindshare of Digital.ai Continuous Testing is 1.4%, up from 0.4% compared to the previous year. The mindshare of OpenText Functional Testing for Developers is 3.0%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Test Automation Tools Mindshare Distribution
ProductMindshare (%)
OpenText Functional Testing for Developers3.0%
Digital.ai Continuous Testing1.4%
Other95.6%
Test Automation Tools
 

Featured Reviews

Mampi Bhattacharya - PeerSpot reviewer
Developer at a tech vendor with 10,001+ employees
Continuous testing has accelerated daily releases and now provides faster, richer debugging insights
Digital.ai Continuous Testing could be better in certain areas, and I can share my experience-based view on what can be frustrating. One issue is device availability and queue delays during peak CI hours. Sometimes devices are busy, causing tests to queue and the pipeline to slow down unexpectedly, which is especially painful for large regression suites or tight release timelines. Improvements are needed in smarter auto-scaling of device pools and better priority-based scheduling. Additionally, execution speed variability occurs; the same test sometimes runs fast and sometimes slow, depending on device load and network latency, making results less predictable. More stable execution environments and better performance isolation per session would help. Furthermore, debugging can still be indirect; even with logs or videos, I do not fully control the device as I would with local debugging, making it hard to pause and inspect live states or reproduce edge-case issues locally. More interactive debugging and improved local reproduction tools are necessary. Cost versus usage efficiency is another area of concern, as device cloud usage can be expensive and we sometimes have idle or inefficient tests that waste money. Improvements in usage analytics and cost optimization suggestions for smart test selection to run only impacted tests are areas where I believe Digital.ai Continuous Testing could improve.
Eitan Gold - PeerSpot reviewer
SQA Manager at Elmo Motion Control Ltd.
User-friendly integration with support for Visual Studio enhances GUI testing capabilities
OpenText UFT Developer is user-friendly and integrates well with Visual Studio. The support is excellent. It is easy to implement tests with OpenText UFT Developer. We primarily use it for GUI testing and testing web applications with another application. This is the main usage for us. We also integrate it with the N-unit Framework, and they work well together.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Experitest is one of the only companies to offer a real device on the cloud to perform testing, and they also provide quality documentations that help you navigate and maximize the solution."
"Digital.ai Continuous Testing has positively impacted my organization with massive reductions in testing time, enabling us to cut our regression cycle from two to three days down to two to three hours, transition from weekly releases to nearly daily deployments, and reduce production defects by 30 to 50% while significantly improving debugging efficiency and overall team productivity."
"Digital.ai Continuous Testing has had a pretty positive impact on the organization, especially in terms of speed and reliability."
"Digital.ai Continuous Testing has had a very positive impact in terms of efficiency and quality."
"The most useful feature for me is Mobile Studio. It has a UI where I can click on elements, and it generates a script for me. Mobile Studio can generate code from testing steps. I'm using Python with it."
"I have seen a clear positive ROI after implementing Digital.ai Continuous Testing, especially in terms of time saving, faster release cycle, and improved efficiency."
"The most valuable part of Experitest is the number of real devices on which the test is run."
"OpenText UFT Developer is user-friendly and integrates well with Visual Studio."
"One of the important features, which speeds up the automation testing development with LeanFT, is its object repository functions. Object identification are the most time-consuming aspect of building automation tests. LeanFT gives that out of the box. It helps you identify the objects and after that, once you got the object in place, then it's just about building the test scripts. So it reduces your development time significantly."
"It is quite stable, and it has got very user-friendly features, which are important in terms of maintaining our scripts from a long-term perspective. It is very stable for desktop-based, UI-based, and mobile applications. Object repositories and other features are also quite good."
"LeanFT's been very good."
"The most valuable feature of the solution is the number of plugins for object recognition. The predefined libraries allow us to automate tasks."
"I believe the main feature for using it is the flexibility across different platforms."
"OpenText UFT Developer works well with record technology, making it valuable for recording."
"Within a week, two of my global customers were able to leverage their automation through this solution, and the adaptability of how this slotted in was just amazing, which was incredibly efficient."
 

Cons

"I have been automating tests for many years on many things but not on mobile devices. The amount of time that I have spent on just figuring out how to use Experitest and get it to work was quite long compared to what I have been doing before. I spent the first two weeks just getting it started. It would be good to have some video explanation of how to use it on your devices and get started. Their online documentation is quite good and extensive, but it would be quite good to have some end-to-end examples demonstrated."
"The integration process was good, but I've faced some challenges. Every time they release a new version, I find bugs in the UI and features. Sometimes, buttons don't work well. When this happens, I submit a ticket to technical support, but they often have to fix it in the next version."
"One challenge is that the initial setup and integration with CI/CD pipelines can sometimes be a bit complex, especially for teams new to automation."
"I believe that it could be more stable. During times when something is not working, it is difficult to find the solution."
"Digital.ai Continuous Testing is a strong platform, but there are a few areas where it could be improved to make the experience even better."
"Device availability and queue delays during peak CI hours are an issue; sometimes devices are busy, causing tests to queue and the pipeline to slow down unexpectedly, which is especially painful for large regression suites or tight release timelines."
"I would also like to see more videos and descriptions that could make installation more efficient."
"The amount of time that I have spent on just figuring out how to use Experitest and get it to work was quite long compared to what I have been doing before."
"It would be improved by adding a drag-and-drop interface to help alleviate the coding."
"In the next release, I would like to see integration with different cloud-based tools such as Azure."
"As the releases come, support for all technologies in the systems under test that UFT currently support will be the obvious place for improvement."
"It's newer so it doesn't support as many technologies which makes the investment a little bit harder for us to absorb more licenses than we currently have or to justify buying any more licenses than we currently have because it only supports a certain subset of our customers."
"I'd like to not have to use Selenium. I'd like to be able to do headless scripting and not just always be UI serving."
"I would rate technical support a one out of five."
"With Smart Bear products generally, you can have only one instance of the tool running on a machine."
"I didn't find them to be exceptionally good. They are very slow, and for every problem, they want you to raise a ticket."
 

Pricing and Cost Advice

"The price is reasonable for our company, but I'm not the decision-maker."
"It is quite fairly priced, but it really depends on your budget. It is somewhere in the mid-range of products. It is not free and it is not QGP that nearly costs a whole house. You pay for the number of users who require access to execute the tests."
"We make monthly payments. The cost is dependent on the number of devices we intend to support."
"When we compare in the market with other tools that have similar features, it may be a little bit extra, but the cost is ten times less."
"If I would rate it with one being inexpensive and ten being expensive, I would rate pricing an eight out of ten."
"The pricing is quite high compared to the competition."
"It is cheap, but if you take the enterprise license, it is valid for both software items."
"The price of the solution could be lowered. The cost is approximately $25 per year for a subscription-based license."
"It is quite expensive and is priced per seat or in concurrent (or floating) licenses over a period of months."
"The cost of this solution is a little bit high and we are considering moving to another solution."
"The licensing is very expensive, so often, we don't have enough VMs to run all of our tests."
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Top Industries

By visitors reading reviews
University
16%
Financial Services Firm
14%
Outsourcing Company
13%
Computer Software Company
10%
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
9%
Performing Arts
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise12
Large Enterprise30
 

Questions from the Community

What is your experience regarding pricing and costs for Digital.ai Continuous Testing?
The price is reasonable for our company, but I'm not the decision-maker.
What needs improvement with Digital.ai Continuous Testing?
Digital.ai Continuous Testing is a solid tool, but there are a few things that can be frustrating at times. One thing I noticed is that the initial setup and configuration can feel complex, especia...
What is your primary use case for Digital.ai Continuous Testing?
The main use case for Digital.ai Continuous Testing has been automating test execution as part of the CI/CD pipeline, especially for ensuring builds are stable before the release. For example, I us...
What is your experience regarding pricing and costs for Micro Focus UFT Developer?
The price of OpenText UFT Developer is a bit higher than expected, but there are no better tools available for a valid comparison.
What needs improvement with Micro Focus UFT Developer?
As of now, we don't have integration in the CI/CD pipeline, but they are supporting that as well. When your machine is in a locked state, you can even execute the Windows application automation. Mi...
What is your primary use case for Micro Focus UFT Developer?
For functional testing, we are using OpenText Functional Testing for Developers as our product for testing. I am using the cross-browser testing capabilities of OpenText Functional Testing for Deve...
 

Also Known As

Experitest Seetest, Experitest
Micro Focus UFT Developer, UFT Pro (LeanFT), Micro Focus UFT Pro (LeanFT), LeanFT, HPE LeanFT
 

Overview

 

Sample Customers

Samsung, American Express, Barclays, China Mobile, Citi, Cisco, McAfee
Walmart, Hitachi, American Airlines, PepsiCo, AT&T, Ericsson, United Airlines
Find out what your peers are saying about Digital.ai Continuous Testing vs. OpenText Functional Testing for Developers and other solutions. Updated: June 2026.
902,417 professionals have used our research since 2012.