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 #13 with an average rating of 7.3, while OpenText is ranked #3 with an average rating of 8.0. Digital.ai holds a 2.6% mindshare in ALM, compared to OpenText’s 8.5% 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

3,827 Views
2,449 Comparison Views

80% willing to recommend

OpenText Application Qualit...

Read 208 OpenText Application Quality Management reviews

22,317 Views
13,837 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: November 2026).

Buyer's Guide

Digital.ai Agility vs. OpenText Application Quality Management

November 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

13th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Release Automation (12th), Enterprise Agile Planning Tools (9th), 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 November 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.6%, up from 2.2% compared to the previous year. The mindshare of OpenText Application Quality Management is 8.5%, up from 4.5% 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	8.5%
Digital.ai Agility	2.6%
Other	88.9%

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

"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."

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

"VersionOne delivers a total ALM solution for whether you are operating a single team, like Scrum and Kanban for IT operations, or implementing an agile enterprise approach, like SAFe."

"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 most valuable thing is kind of the whole package together."

"You can use Digital.ai Agility for automating your tasks and creating your dashboard."

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

More Digital.ai Agility pros

"What they do best is test management. That's their strong point."

"I personally found the defect tracking feature very useful in my ongoing project."

"So the first impression that hits me about HP UFT 14.0 (formerly QTP) is that it seems to be a whole lot faster! But that could be subjective, as I'm running it on a high end gaming system."

"The processes of both test execution and test tracking have become more transparent, and we use it for big SAP implementations, which provides ROI after the first project."

"We're able to more accurately document our test results, our actual versus our expected results, with the new screenshot functionality."

"The application itself tends to be very stable, but when switching to an open-source website, that's where the issues are."

"Traceability of bugs to script execution (Test Lab) to Script (Test Plan) to Requirements, Easy to use."

"For testing processes and improvements, I would suggest you use this product."

More OpenText Application Quality Management pros

Cons

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

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

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

"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."

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

"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."

"I'd like to see the idea of users being flushed out more, so not just, "This defect is now assigned to a particular person," or "This person is assigned to execute a test.""

"HPE ALM’s out-of-the-box reporting can be perceived as rigid and limited, to an extent."

"We had problems with Solution Manager/SAP integration and use through customizing RFC calls."

"Performance issues are very common. The degradation of performance and consequent failures continuously happen."

"I'm disappointed with the support as they're not reactive enough."

"The UFT tests don't work very well and it seems to depend on things as simple as the screen resolution on a machine that I've moved to."

"Full product is very complex plus the licensing left much to be improved."

"Backup strategy is lacking in QC. Once the QC server crashes, all your automation artifacts are unrecoverable."

More OpenText Application Quality Management cons

Pricing and Cost Advice

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

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

"We pay around $30,000 for thirty users, translating to approximately $6,000 to $10,000 per user, which is high."

"I've never been in the procurement process for it. I don't think it is cheap. Some of the features can be quite expensive."

"ALM Quality Center is a little bit costly."

"HPE has one of the most rigid, inflexible, and super expensive license models."

"It has several limitations in adapting its agility easily."

"We have divided our licenses between Micro Focus ALM and ALM Octane. It works for us."

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

"Seat and concurrent licensing models exist; the latter is recommended if a large number of different users will be utilizing the product."

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

11%

Insurance Company

10%

Outsourcing Company

Construction Company

Manufacturing Company

14%

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 11% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

OpenText Deployment Automation vs Digital.ai Agility

Compared 4% of the time

More Digital.ai Agility Competitors

Microsoft Azure DevOps vs OpenText Application Quality Management

Compared 24% 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

TFS vs OpenText Application Quality Management

Compared 3% of the time

OpenText Software Delivery Management vs OpenText Application Quality Management

Compared 3% of the time

More OpenText Application Quality Management Competitors

Product Reports

Buyer's Guide

Digital.ai Agility

November 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 a scalable, user-friendly interface with seamless automation tool integration, positioned to enhance test case management and defect tracking.

OpenText Application Quality Management provides comprehensive tools for scalable test management and effective defect management, supporting real-time tracking and detailed reporting. It empowers users with enhanced traceability between requirements, tests, and defects. The customization options and integration capabilities ensure adaptability for a broad range of testing requirements to support efficient test management, execution, and reporting. Improvements are necessary in requirements traceability, user interface updates, and integration with Agile and DevOps tools. Performance and reporting enhancements, browser compatibility, licensing, costs, and customer support remain areas for growth. Users manage test cycles, log defects, and maintain test cases, benefiting from the system's ability to record results for manual and automated testing. It facilitates regression and performance testing and supports software development lifecycle tracking to ensure comprehensive coverage.

What are the key features of OpenText Application Quality Management?

Scalability: Adaptable to extensive testing needs.
Integration: Seamless compatibility with automation tools.
Test Case Management: Simplifies creation and management.
Defect Management: Effective tracking and resolution.
Real-time Tracking: Keeps testing processes up-to-date.
Reporting: Offers detailed insights.
Customization: Tailored to testing processes.

What benefits or ROI do users typically see?

Enhanced Traceability: Links requirements, tests, and defects.
Efficiency: Streamlined test management and execution.
Comprehensive Coverage: Ensures thorough requirement mapping.
Flexibility: Adapts to testing processes and tools.
Detailed Reporting: Offers insights for improvement.

OpenText Application Quality Management is widely implemented in industries focusing on test management, defect tracking, and requirements mapping. Companies utilize its capabilities to integrate with systems supporting regression and performance testing, effectively tracking phases of the software development lifecycle to ensure comprehensive requirements coverage and insightful reporting. Transitioning to newer versions and managing large projects are seen as opportunities for increased efficiency.

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

November 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: November 2026.

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