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Digital.ai Continuous Testing vs Perfecto comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 15, 2024

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 Mobile App Testing Tools
3rd
Ranking in Test Automation Tools
10th
Average Rating
7.6
Reviews Sentiment
4.9
Number of Reviews
7
Ranking in other categories
AI-Augmented Software-Testing Tools (3rd)
Perfecto
Ranking in Mobile App Testing Tools
5th
Ranking in Test Automation Tools
21st
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
23
Ranking in other categories
Performance Testing Tools (13th), Functional Testing Tools (16th)
 

Mindshare comparison

As of June 2026, in the Mobile App Testing Tools category, the mindshare of Digital.ai Continuous Testing is 5.0%, up from 1.5% compared to the previous year. The mindshare of Perfecto is 6.6%, up from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Mobile App Testing Tools Mindshare Distribution
ProductMindshare (%)
Digital.ai Continuous Testing5.0%
Perfecto6.6%
Other88.4%
Mobile App Testing 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.
Roland Castelino - PeerSpot reviewer
QA Lead at BMO Financial
Its reporting allows us to have a clear view regarding what tests have been executed
The most valuable would be their Live Stream analysis, where I can see the live analysis of all the executions on a single device or multiple devices as well as track them. The live analysis and reporting would be the single most valuable feature. We leverage Perfecto’s reporting and analytics a lot. From the CI Dashboard, it is mainly the status, which is the past, failure count, and time consumption, e.g., how much time did an average test or script take? Along with that, it provides the historical view compared to the previous result, e.g., am I a pass or fail? Also, the stack trace is very important. Whenever a pass occurs, we don't look beyond that. However, whenever a failure occurs, the stack trace information that it gives us is pretty critical for us when figuring out where failures lie. It gives a summary for the pass/fail count, total test count, the historical view, time consumption for each test as well as the total tests, and the stack rate of the failure. Perfecto's analytics are very important since we use them on a daily basis. We run our executions daily. After every execution, we pull information from the Perfecto reporting system and share that with our stakeholders. Having this information accurately reported is pretty important for us, so everybody is aware of the current status of the product. That way, we can evaluate the health of the product or environment against that which has been executed. Therefore, it helps make those real-time decisions and highlights the impact to the business. I found Perfecto to be pretty easy to use while executing against cross-platforms. The main reason is because the same script or test automation where we execute on multiple platforms has minimal changes that I need to do. Also, it is easy for me to set up an execution on one platform, then on another platform, either in parallel or one after the other. Parallel opportunities save me time. Once the execution has been completed across these different configurations, I can always check and compare, e.g., what are the differences and consistencies? We utilize Perfecto’s cloud-based lab to test across devices, browsers, and OSs. I use it occasionally for manual testing. Though, there are other team members who use it more frequently than I do. I use it mainly for executing my automated tests. We have the Perfecto lab, cloud devices, and machines. I can program my test to execute against any of those devices, which gives me more confidence in my product. I can compare and see how my product or application functionally behaves across these different devices and from a UI point of view, which helps me a lot. The device lab is extremely important to our testing operations. We rely on having multiple devices up and running all the time. Whenever we kick off an execution, there are multiple reasons why executions may get triggered: * CodeCommit * A scheduled job. * Might be on-demand by any stakeholder. We need the lab to be available, as we need devices up and running for executions to take place. Also, the devices help since they allow us to have parallel execution, and not just wait for a sequential device to become free and available. Therefore, volume is definitely key. It also gives us an opportunity to compare execution across platforms in that space. It is extremely important to you that the lab provides same-day access to new devices since we analyze that data every single day after execution. Perfecto provides their own framework called Quantum Framework. That is one option. The other option is, if I want to have my own framework, I can have a Java-based Maven project, take a Selenium library, AppiumLibrary, and REST Assured library, and utilize the open-source framework. It is easy for us to connect to Perfecto, no matter what framework we use, as long as it has these core libraries in it. I can design and structure it any way that I want. The execution will happen in Perfecto no matter what since they have support for these tools or libraries. It is pretty neat that way. We are not dependent on using just one particular framework to use Perfecto. While there are still some framework limitations, there is the opportunity to use multiple, different open-source frameworks, then pass the execution to Perfecto. We can use most frameworks, then design and craft it any way that we want, then just pass the execution to Perfecto.

Quotes from Members

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

Pros

"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."
"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 very positive impact in terms of efficiency and quality."
"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."
"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 had a pretty positive impact on the organization, especially in terms of speed and reliability."
"The automated test reporting functionality is the most valuable feature. We use the CI Dashboard. It's very important as it is the main reporting tool for our automated tests."
"The CI dashboard tool is very good, as is the Live Stream monitoring. Whenever I want to monitor execution, I can open multiple tabs in Perfecto and it is easy for me to refer to the CI dashboard and the Live Stream."
"Being able to run automated tests and see the success and failure rate of those runs every day has saved us a lot of time and helped us identify issues much sooner, which has improved the quality of our software."
"Performance-wise, Perfecto has been awesome."
"Perfecto has affected our software quality in a good way; it has allowed us to catch our defects earlier, thus improving the quality of our applications."
"There are a whole bunch of things that I like about the solution, but I really love the interaction it has with mobile devices, the testing capabilities, as well as reporting capabilities that we get from the application. The reports are very detailed."
"Perfecto has affected our software quality in a good way. It has allowed us to execute on-demand and on-choice. We also track the number of issues that we find in the product. Every single day, we tag the issues that we found. For example, if something was found by automation, that means it was found by a Perfecto execution. Over time, we realized the real value in tracking those numbers. We can see now that we have clearly been finding issues earlier. It has allowed us to catch our defects earlier, thus improving the quality of our applications."
"I also like the reporting functions. We are constantly downloading these reports and sharing them with our final customers. They help us understand what kind of bugs are happening through the applications. The recording feature is handy because it lets us see a video of the process we run through the pipeline and discover the point at which the automation is breaking."
 

Cons

"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."
"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."
"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 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."
"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."
"Digital.ai Continuous Testing is a solid tool, but there are a few things that can be frustrating at times."
"I'm hoping they can support on-premises instances. We have been working on a JIRA integration with Perfecto—and I'm extremely impressed that they have that—but at this time they're not supporting onsite JIRA instances, which is what we have."
"On the analytics side, Perfecto is in need of improvement."
"I'm hoping they can support on-premises instances."
"It would be nice if there were some kind of AI to compile a list of available devices. Currently, we have to look at the web interface to see the available devices, but the pipelines can't do it on their own there. We always need to do this manually, so it would be better if this feature were automated."
"It is slow compared to physical device testing. The interactive speed could be improved."
"It would be ideal if there was a complete integration with other test management tools and other applications like HPLM, Micro Focus, or Microsoft Azure."
"There was a discussion about having the capability to export the test results to a certain tool that we use in our project. If that were added it would be great not having to manually take screenshots, put them in a document, and share them on the different test management tools."
"We've had a couple of issues lately with videos not loading or browsers dying after some execution, although that happens very rarely."
 

Pricing and Cost Advice

"The price is reasonable for our company, but I'm not the decision-maker."
"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."
"Pricing-wise, it is fine. It is not as expensive as what we used to have in the past from HP, IBM, and others. It is decently priced."
"Perfecto is about 30-40% cheaper than Device Anywhere. That was a big reason why we switched. Perfecto also solves some of the issues that we had with Device Anywhere. We have grown by 100% since we started to use Perfecto, and now we have devices roaming. When we look at the competition, we would still stick with Perfecto."
"It's definitely on the higher end of prices for this type of service."
"Although Perfecto is a good product for us to use, it is a bit expensive. It takes management a bit of work to find the appropriate funding for us to keep Perfecto. I imagine there could be some way to make it more accessible."
"Pricing is an area where Perfecto can do a little better. When we obtain additional licenses, we enter into negotiations with them."
"Perfecto has definitely saved us on the costs and efforts of having to maintain our own virtual test environment. We lost about 20 devices in the past to maintenance and audit. That was a massive loss for us, as a company, because we were giving devices to someone, but don't know whether we would get it back or not. Having those virtual labs, we don't need to worry about these kinds of things. We are easily saving $5,000 to $10,000 a month on device costing."
"Perfecto's price is excellent compared to other products with similar features. It was the lowest of the three we evaluated. We also established a partnership with Perfecto, so they provide discounts when we sell Perfecto projects and licenses to our customers."
"I am not sure about its pricing, but from our perspective, licensing has been easy. Anytime I have new users or requests for users that want to get added, it's a very simple process. I just give the architectural owner of the product the name and email address, and they're able to easily add a new user. We don't have any issues in regards to getting licenses, but I don't have any insights into pricing."
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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
21%
Construction Company
11%
Manufacturing Company
8%
Healthcare Company
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 Business1
Midsize Enterprise1
Large Enterprise23
 

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...
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Also Known As

Experitest Seetest, Experitest
Perfecto Mobile, Perfecto Web
 

Overview

 

Sample Customers

Samsung, American Express, Barclays, China Mobile, Citi, Cisco, McAfee
Virgin Media, Paychex, Rabobank, R+V, Discover
Find out what your peers are saying about Digital.ai Continuous Testing vs. Perfecto and other solutions. Updated: June 2026.
902,417 professionals have used our research since 2012.