Digital.ai Agility vs OpenText Application Quality Management comparison

Why PeerSpot?

Digital.ai and OpenText are both solutions in the Application Lifecycle Management (ALM) Suites category. Digital.ai is ranked #14 with an average rating of 7.3, while OpenText is ranked #3 with an average rating of 8.2. Digital.ai holds a 2.6% mindshare in ALM, compared to OpenText’s 8.2% mindshare. Additionally, 80% of Digital.ai users are willing to recommend the solution, compared to 89% of OpenText users who would recommend it.

Digital.ai Agility

Read 8 Digital.ai Agility reviews

3,596 Views
2,301 Comparison Views

80% willing to recommend

OpenText Application Qualit...

Read 208 OpenText Application Quality Management reviews

19,982 Views
12,589 Comparison Views

89% willing to recommend

Digital.ai Agility

OpenText Application Qualit...

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

OpenText Application Quality Management and Digital.ai Agility are solutions in the software quality and project management category. OpenText often holds an advantage for its cost-effectiveness and quality of support while Digital.ai is appreciated for its robust features in agile environments.

Features: OpenText is focused on test management, risk-based quality governance, and integration with existing setups. Digital.ai Agility emphasizes agile project management, planning, and collaboration tools, aligning with agile team needs.

Room for Improvement: OpenText could expand its project management capabilities, innovate in collaboration tools, and enhance user interface design. Digital.ai Agility may benefit from simplifying its deployment process, improving customer support responsiveness, and lowering cost for wider accessibility.

Ease of Deployment and Customer Service: OpenText offers straightforward deployment and responsive support, facilitating a smoother implementation. Digital.ai’s deployment can be more complex though it comes with extensive documentation; its support, while comprehensive, might not match OpenText's responsiveness.

Pricing and ROI: OpenText is recognized for a cost-effective setup with a good ROI balance. Digital.ai, despite being perceived as more expensive, is seen as worth the investment due to its feature-rich options that provide substantial long-term value.

To learn more, read our detailed Digital.ai Agility vs. OpenText Application Quality Management Report (Updated: September 2026).

Buyer's Guide

Digital.ai Agility vs. OpenText Application Quality Management

September 2026

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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 Agility

Ranking in Application Lifecycle Management (ALM) Suites

14th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Release Automation (12th), Enterprise Agile Planning Tools (6th), Value Stream Management Software (5th)

OpenText Application Qualit...

Ranking in Application Lifecycle Management (ALM) Suites

3rd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

208

Ranking in other categories

Quality Management Software (1st), Test Management Tools (1st)

Mindshare comparison

As of October 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.6%, up from 2.1% compared to the previous year. The mindshare of OpenText Application Quality Management is 8.2%, up from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Lifecycle Management (ALM) Suites Mindshare Distribution
Product	Mindshare (%)
OpenText Application Quality Management	8.2%
Digital.ai Agility	2.6%
Other	89.2%

Application Lifecycle Management (ALM) Suites

Featured Reviews

JaiBharath Boithi

Data Scientist at a tech vendor with 51-200 employees

Agile planning has improved daily coordination but reporting and dashboards still need more flexibility

I would like to see more advanced reporting and analytics customization. The existing dashboards are useful for tracking velocity, backlog, and delivery, but deeper real-time insights would improve decision-making. I would also like simpler integrations and more flexibility, especially across large teams and complex projects. Another improvement I would like is more flexible reporting and dashboard customization, especially for creating organization-specific metrics. More intuitive visualizations would also help. Digital.ai Agility can be improved mainly by making reporting and dashboard customization more flexible and intuitive. I would also like simpler integrations with third-party tools and easier configurations of automated workflows. Better dependency visualizations and real-time alerts for delivery risk would help large teams identify blockers earlier. The user interface could also be simplified to make it easier for new users. Overall, these improvements would make day-to-day planning, reporting, and cross-team coordination more efficient. There are a few areas where improvements are needed. I would like to see further improvements in user experience and navigation, especially making commonly used features easier to access for new users. More intuitive dashboard customization, better dependency visualization, and simpler third-party integrations would also help.

Read full review

Greg Stone

Partner at IS Nordic AS

Manages multiple releases seamlessly

We have done some work with companies, probably four or five years ago and found the ability to manage multiple releases simultaneously as a main advantage, especially in complex programs with multiple concurrent releases. Running automated tests against back-level versions in certain environments is possible, and newer versions can be tested as well. It creates constant visibility into the test process, showing the status, bugs, and automated test results. It is a solid product in large corporations in Denmark, ensuring everyone knows where the process stands. There is a good understanding of what is critical, allowing prioritization of test cases.

Read full review

Quotes from Members

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

Pros

"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."

"Digital.ai Agility helped our organization define the Enterprise Value Streams, and in the tool you can derive all user stories, features, and epics from the top-level portfolio items and value streams so any work that is done must contribute to the value streams, otherwise it should be questioned why that effort is being executed."

"Overall, the biggest benefits have been better delivery visibility, improved planning, faster decision-making, and reduced administrative effort."

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."

"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."

"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."

"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."

"The solution is excellent for collaboration; from the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively."

More Digital.ai Agility pros

"We were able to manage test cases effectively when we were using it. It worked well for us."

"It empowers us to do more testing, our testing is being done for customers, and the solution enables us to conduct risk-based testing by linking requirements of a certain risk factor and showing in a report once they are covered."

"We are using the solution for multiple purposes: test management, defect tracking, traceability, requirement tracking, and test execution."

"It saves time, and definitely mitigates risks in having products which are not very well built, to having a product which will perform well and function well once it goes live."

"ALM has got really a good feature which captures screens, decodes them and puts them in a code format."

"As a standalone tool for managing testing, it is good."

"It gives me the ease of putting together the requirements, test cases, the release test schedules, and executing the test."

"With test execution, you have an option to create custom fields. It is also really user-friendly. With other tools, we only have restricted fields and we cannot customize or add new columns or fields that users can make use of while testing. ALM is very flexible for creating new fields. It is easy for users to understand the application."

More OpenText Application Quality Management pros

Cons

"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."

"The user interface could also be simplified to make it easier for new users."

"The response from Digital.ai Agility is a little bit slow and could be faster."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

"It was not supporting some plugins. We wanted to migrate data that we were already using."

"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."

"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."

"Improve how to create and track releases. Currently, I have to create child projects."

"This is for big software houses, so costs and especially yearly renewal of support is very very expensive."

"The QA needs improvement."

"The web client doesn't match the quality of the rest of the features of this solution."

"Sometimes I do run my queries from the admin login. However, if I want to reassess all my test cases, then I am still doing this in a manual manner."

"I frankly don't recommend Micro Focus solutions. The support is not good and the documentation is not consistent."

"ALM has not directly assisted scalability. I wouldn't say ALM assists with scalability at all."

"Scalability is becoming more complex."

"Integration into the UTF (earlier QTP) has little more scope to improve."

More OpenText Application Quality Management cons

Pricing and Cost Advice

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."

"Comparing the pricing to other products, I think this solution is in the middle."

"I'd rate the pricing as 3/10 as it's very expensive."

"The pricing is expensive nowadays."

"The solution was expensive for us."

"Sure, HP UFT is not free. But consider what you get for that cost: A stable product that is easy to use; the kitchen sink of technology stack support; decades of code (which in many cases actually is free); a version that is a stepping stone to an easier Selenium design; and a support base that is more that just the kindness of strangers."

"ALM Quality Center is a little bit costly."

"For pricing, I recommend to buy a bundled package. Check the HPE site for more details."

"The full ALM license lets you use the requirements tab, along with test automation and the Performance Center. You can also just buy the Quality Center edition (Manual testing only), or the Performance Center version (Performance Testing only)."

"The solution has the ability to handle a large number of projects and users in an enterprise environment with the correct license."

More OpenText Application Quality Management pricing and cost advice

See which vendors are best for you

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Insurance Company

10%

Outsourcing Company

Construction Company

Manufacturing Company

15%

Financial Services Firm

12%

Outsourcing Company

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	41
Midsize Enterprise	32
Large Enterprise	161

Questions from the Community

What needs improvement with Digital.ai Agility?

See all answers

What is your primary use case for Digital.ai Agility?

I primarily use Digital.ai Agility for Agile project management, sprint planning, backlog management, and tracking team progress and deliveries. We use Digital.ai Agility for Agile project and port...

See all answers

What advice do you have for others considering Digital.ai Agility?

I can advise others to use Digital.ai Agility for organizations. It is good for enterprise-level Agile planning across multiple teams and portfolios. Before implementing it, I would suggest startin...

See all answers

What is your experience regarding pricing and costs for Micro Focus ALM Quality Center?

The on-premises setup tends to be on the expensive side. It would be cheaper to use a cloud model with a pay-per-use licensing model.

See all answers

What needs improvement with Micro Focus ALM Quality Center?

Regarding integration with various development tools, I can provide examples, and I am using customizable dashboards in OpenText ALM _ Quality Center, which definitely help identify project bottlen...

See all answers

What is your primary use case for Micro Focus ALM Quality Center?

People are using OpenText ALM _ Quality Center for recording user cases, testing and hand documentation, defect tracking, business purposes, and reporting.

See all answers

Comparisons

Jira vs Digital.ai Agility

Compared 12% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

OpenText Deployment Automation vs Digital.ai Agility

Compared 5% of the time

More Digital.ai Agility Competitors

Microsoft Azure DevOps vs OpenText Application Quality Management

Compared 25% of the time

Jira vs OpenText Application Quality Management

Compared 5% of the time

Zephyr Enterprise vs OpenText Application Quality Management

Compared 4% of the time

OpenText Software Delivery Management vs OpenText Application Quality Management

Compared 3% of the time

TFS vs OpenText Application Quality Management

Compared 3% of the time

More OpenText Application Quality Management Competitors

Product Reports

Buyer's Guide

Digital.ai Agility

October 2026

Download Digital.ai Agility product report

Buyer's Guide

OpenText Application Quality Management

October 2026

OpenText Application Quality Management report

Download OpenText Application Quality Management product report

Also Known As

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum

Micro Focus ALM Quality Center, HPE ALM, Quality Center, Quality Center, Micro Focus ALM, OpenText Quality Manager

Overview

Digital.ai Agility provides powerful visualization, automation, multiple planning levels, and integration capabilities, promoting efficient task management and organizational alignment.

Digital.ai Agility efficiently supports development tasks, facilitating agile frameworks like Scrum, Kanban, and SAFe. It offers strong collaboration features, automation capabilities, and seamless integrations. While it could improve its machine learning and analytics integration, it enables planning release automation and backlog management, assisting in strategic theme definition and linking portfolio items. Its sprint functionality, value stream creation, and team velocity calculations stand out for users.

What critical features does Digital.ai Agility offer?

Visualization: Robust tools to create clear development roadmaps.
Automation: Reduces manual effort and enhances workflow efficiency.
Integration: Supports integration with tools like Jira and Azure DevOps.
Planning Levels: Manages multiple iteration plans and "what if" scenarios.

What benefits should users expect?

Team Productivity: Supports agile frameworks and reduces plugin needs.
Goal Alignment: Links development tasks with strategic objectives.
Collaboration: Enhances teamwork with effective Scrum boards.
Flexibility: Facilitates transitions from other platforms.

Digital.ai Agility is widely used across industries for deployment standardization and release automation. It helps organizations manage backlogs and create intuitive dashboards, enabling them to adapt to different project management methodologies, suitable for both software and non-software teams.

Digital.ai

OpenText Application Quality Management offers centralized data management, traceability, and integration capabilities. It aids in handling requirements, test planning, and defect tracking while supporting both manual and automated testing. Challenges exist in deployment and browser compatibility.

Known for its robust reporting and flexibility, OpenText Application Quality Management is tailored for large organizations requiring a comprehensive solution supporting lifecycle coverage and seamless tool integration. Users can consolidate testing processes, manage requirements, and centralize reporting across manual and automated testing. While some face issues with project tracking, outdated interfaces, and limited browser compatibility beyond Internet Explorer, it remains widely used for regression and performance testing. Integration with tools like JIRA and support for tools such as UFT and ALM PC underscore its utility.

What are the key features of OpenText Application Quality Management?

Centralized Data Management: Consolidates and organizes testing data efficiently.
Traceability: Ensures traceability across all stages of the testing lifecycle.
Integration Capabilities: Connects seamlessly with automation and other essential tools.
Test Planning and Execution: Supports both manual and automated tests in a streamlined manner.
Advanced Reporting: Provides robust options to generate insightful test reports.
Customization: Offers tailored solutions to fit specific organizational needs.

What benefits should users look for in reviews?

Efficiency: Increases test management efficiency across projects.
Scalability: Adapts to the varying scope of large-scale projects.
Lifecycle Coverage: Comprehensive management from requirement to defect tracking.
User-Friendly Interface: Designed for ease of use despite needing updates.
Cost-Effectiveness: Balances high initial costs with long-term savings through efficient testing management.

In industries such as finance and healthcare, OpenText Application Quality Management is implemented to ensure rigorous testing standards. It supports test case creation and execution, defect tracking, and requirements management. Integration with JIRA and performance testing tools make it suitable for organizations needing synchronized testing environments.

OpenText

Sample Customers

Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines

Airbus Defense and Space, Vodafone, JTI, Xellia, and Banco de Creìdito e Inversiones (Bci)

Buyer's Guide

Digital.ai Agility vs. OpenText Application Quality Management

September 2026

Free Report: Digital.ai Agility vs. OpenText Application Quality Management

Find out what your peers are saying about Digital.ai Agility vs. OpenText Application Quality Management and other solutions. Updated: September 2026.

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