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BlazeMeter vs Digital.ai Continuous Testing comparison

Why PeerSpot?
 

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

BlazeMeter
Ranking in Test Automation Tools
15th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
50
Ranking in other categories
Performance Testing Tools (6th), Functional Testing Tools (14th), Load Testing Tools (6th), API Testing Tools (13th)
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 October 2026, in the Test Automation Tools category, the mindshare of BlazeMeter is 2.0%, up from 0.5% 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 (%)
BlazeMeter2.0%
Digital.ai Continuous Testing1.5%
Other96.5%
Test Automation Tools
 

Featured Reviews

Nirav Patel - PeerSpot reviewer
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
Performance testing for peak retail events has become faster and delivers reliable user load insights
BlazeMeter offers numerous features, but the ones that stand out to me include its ease of use, predefined configurations for high-scale performance testing that can be executed quickly, AI-powered testing, scriptless testing, and accurate API testing with an auto-correction plugin to ensure the accuracy of the tests performed. While I cannot pinpoint a single favorite feature, I find myself using parallel execution frequently because this feature allows multiple tests to be run at once, greatly enhancing my workflow. BlazeMeter effectively handles dependency in microservice architecture, for example, linking one API to another to manage response flows, such as the login and registration APIs, which flows efficiently through BlazeMeter. BlazeMeter has positively impacted my organization by reducing the time required for testing due to its robust features that yield efficient results. Unlike JMeter, which has limitations on user simulations, BlazeMeter allows me to test any number of users, helping my e-commerce website manage unpredictable traffic loads effectively while delivering accurate results I can trust to improve my systems.
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 API Mocking capabilities are great."
"The product's most valuable features include its cloud-based nature, which allows us to conduct tests without relying on local resources."
"The extensibility that the tool offers across environments and teams is valuable."
"BlazeMeter allows us to easily run our existing load testing solutions at massive scale."
"The stability is good."
"It is a stable solution. When we compare BlazeMeter with other tools in the market, I can say that the solution's overall performance has also been very good in our company."
"We found it met our requirements and more, helping us gain confidence from our customers and solve a nagging problem in the performance of a third-party application."
"In our company, various teams use BlazeMeter, particularly appreciating its cloud license software, which supports up to 5,000 users. BlazeMeter's cloud capabilities allow us to load test or simulate traffic from any location worldwide, such as Europe, North America, South America, Australia, and even specific cities like Delhi. So, with one cloud license, we can simulate user load from various locations globally."
"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."
"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 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."
"Digital.ai Continuous Testing has had a pretty positive impact on the organization, especially in terms of speed and reliability."
"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."
 

Cons

"Integration is one of the things lacking in BlazeMeter compared to some newer options."
"Reporting."
"It's a rather expensive tool for running just a few tests — which is our primary use case, if there was a pricing structure that met our use case price wouldn’t be of concern."
"The product currently doesn't allow users to run parallel thread groups, making it an area that should be considered for improvement."
"The should be some visibility into load testing. I'd like to capture items via snapshots."
"In terms of improvement, I would like it to have the ability to customize reports."
"The product could improve in areas such as mobile testing and the integration of AI analytics."
"The Timeline Report panel has no customization options. One feature that I missed was not having a time filter, which I had in ELK. For example, there are only filter requests for a time of less than 5 seconds."
"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."
"I would also like to see more videos and descriptions that could make installation more efficient."
"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."
"Digital.ai Continuous Testing is a solid tool, but there are a few things that can be frustrating at times."
"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."
"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."
"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."
"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."
 

Pricing and Cost Advice

"When compared with the cost of the licenses of other tools, BlazeMeter's license price is good."
"My company has opted for a pay-as-you-go model, so we don't make use of the free version of the product."
"It is an averagely priced product."
"I rate the product's price two on a scale of one to ten, where one is very cheap, and ten is very expensive. The solution is not expensive."
"The product pricing is reasonable."
"It's consumption-based pricing but with a ceiling. They're called CVUs, or consumption variable units. We can use API testing, GUI testing, and test data, but everything gets converted into CVUs, so we are free to use the platform in its entirety without getting bogged down by a license for certain testing areas. We know for sure how much we are going to spend."
"I would rate the pricing a three out of ten, where one is very cheap, and ten is very expensive."
"We pay a yearly licensing fee for the solution."
"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."
"The price is reasonable for our company, but I'm not the decision-maker."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Outsourcing Company
11%
Comms Service Provider
9%
Manufacturing Company
8%
Outsourcing Company
22%
University
14%
Financial Services Firm
12%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise9
Large Enterprise23
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

How does BlazeMeter compare with Apache JMeter?
Blazemeter is a continuous testing platform that provides scriptless test automation. It unifies functional and performance testing, enabling users to monitor and test public and private APIs. We ...
What is your experience regarding pricing and costs for BlazeMeter?
Regarding pricing, it is favorable compared to other tools, providing good value. The licensing is flexible, with options for one or two-year terms based on user requirements, and BlazeMeter occasi...
What needs improvement with BlazeMeter?
BlazeMeter meets my needs very well, but an area for improvement would be the ability to execute multiple projects simultaneously. I often have several projects that require performance testing, an...
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

JMeter Cloud
Experitest Seetest, Experitest
 

Overview

 

Sample Customers

DIRECTV, GAP, MIT, NBCUniversal, Pfizer, StubHub
Samsung, American Express, Barclays, China Mobile, Citi, Cisco, McAfee
Find out what your peers are saying about BlazeMeter vs. Digital.ai Continuous Testing and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.