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Digital.ai Continuous Testing vs algoQA comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive Summary

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

algoQA
Ranking in Test Automation Tools
5th
Average Rating
9.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
No ranking in other categories
Digital.ai Continuous Testing
Ranking in Test Automation Tools
16th
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 (2nd)
 

Mindshare comparison

As of November 2026, in the Test Automation Tools category, the mindshare of algoQA is 0.5%, up from 0.2% compared to the previous year. The mindshare of Digital.ai Continuous Testing is 1.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Test Automation Tools Mindshare Distribution
ProductMindshare (%)
algoQA0.5%
Digital.ai Continuous Testing1.5%
Other98.0%
Test Automation Tools
 

Featured Reviews

PC
Software Engineer at Philips
Automation workflows have become faster and AI features save time on locators and test scripts
I feel algoQA can be improved further in a few areas including script generation accuracy, locator identification, and execution stability. I believe execution speed and stability can be improved, especially when handling large test suites and hundreds of test cases. Auto-Heal improvements should include enhancements to identify the correct element more accurately and handle different locator failure scenarios. Providing more meaningful error messages and debugging details would help me identify and resolve issues quickly. Overall, I feel that continuous improvements in these areas will make algoQA more reliable, user-friendly, and powerful for automation testing. One additional area I would like to highlight is integration and scalability. I think algoQA could do better in terms of integration with other tools and technology. Better integration with tools like Jenkins, Git, and other CI/CD platforms would make it easier to include automation in the continuous testing process. I would also like to see improved support for new automation frameworks and technology, along with better handling of complex application scenarios. Another important area is reporting, where more detailed execution reports with clear failure reasons, screenshots, logs, and debugging information would help me analyze issues more quickly. I would also highlight better end-to-end automation management as an area for improvement. It would be great to have more intelligent debugging, detailed execution insights, and suggestions to fix failures automatically. I would also appreciate improved support for complex application scenarios, better handling of dynamic elements, and more accurate AI-generated test cases and scripts. Another important improvement would be faster execution and better performance when handling large test suites. Apart from these suggestions, I feel algoQA already offers a wide range of powerful features, and continuous improvements and new innovations will make it even more useful for me and help organizations achieve better automation coverage with less manual effort.
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.

Quotes from Members

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

Pros

"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."
"The best feature in algoQA is the Test Authoring agent, which explores the application and generates positive, negative, and all the test cases, while also identifying whether I have covered all the test cases according to the requirements."
"The main advantages of algoQA are that maintenance is very easy, I generate test cases very quickly, and I have efficient reports and cloud executions."
"With algoQA, for 10 test cases, I can complete them within two hours, reducing what would typically be a one-day task."
"This feature has significantly improved my workflow by allowing me to automatically fill test gaps and generate executable scripts from manual test cases whenever we make any changes in the application."
"Features like Test Authoring, Algo Scrapper, Test Scripting, and Auto-Heal solve real-time challenges that I face during automation."
"algoQA has positively impacted my organization by reducing the time it takes to create a test scenario from one day to nearly 20 minutes."
"I can now automate and execute around six to seven test cases in one day."
"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."
"The most valuable part of Experitest is the number of real devices on which the test is run."
"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."
"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."
"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 had a pretty positive impact on the organization, especially in terms of speed and reliability."
 

Cons

"Regarding improvements, algoQA can enhance its freemium subscription by adding some AI capabilities, as there are minor changes needed."
"AlgoQA can improve in auto-healing for multiple frameworks, as this is a current issue."
"One area where algoQA can improve is pricing."
"I feel algoQA can be improved further in a few areas including script generation accuracy, locator identification, and execution stability."
"algoQA's onboarding process has to be improved a little bit because if people are very new to algoQA, they will get lost after two or three stages."
"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."
"I believe that it could be more stable. During times when something is not working, it is difficult to find the solution."
"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."
"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."
"I would also like to see more videos and descriptions that could make installation more efficient."
"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."
"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."
"Digital.ai Continuous Testing is a solid tool, but there are a few things that can be frustrating at times."
 

Pricing and Cost Advice

Information not available
"We make monthly payments. The cost is dependent on the number of devices we intend to support."
"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."
"The price is reasonable for our company, but I'm not the decision-maker."
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Top Industries

By visitors reading reviews
No data available
Outsourcing Company
20%
University
13%
Financial Services Firm
10%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise8
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for algoQA?
Regarding pricing, I am not directly involved but did receive a one-year subscription about two months ago. I have heard from my management that the pricing is reasonable.
What needs improvement with algoQA?
algoQA can improve in auto-healing for multiple frameworks, as this is a current issue. Everything else functions well.
What is your primary use case for algoQA?
My main use case for algoQA is in the medical device field, where I need to log into one application, search for a patient ID, verify the patient ID details are correctly updated, log out, and log ...
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 advice do you have for others considering Digital.ai Continuous Testing?
If someone is considering using Digital.ai Continuous Testing, my advice would be to start with a clear workflow in mind. From my experience, it works best when you use it as part of a CI/CD pipeli...
 

Also Known As

No data available
Experitest Seetest, Experitest
 

Overview

 

Sample Customers

Information Not Available
Samsung, American Express, Barclays, China Mobile, Citi, Cisco, McAfee
Find out what your peers are saying about Tricentis, Worksoft, Katalon Studio and others in Test Automation Tools. Updated: November 2026.
921,523 professionals have used our research since 2012.