Digital.ai Agility vs OpenText Software Delivery 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 #8 with an average rating of 8.0. Digital.ai holds a 2.7% mindshare in ALM, compared to OpenText’s 6.5% mindshare. Additionally, 80% of Digital.ai users are willing to recommend the solution, compared to 92% of OpenText users who would recommend it.

Digital.ai Agility

Read 8 Digital.ai Agility reviews

3,368 Views
2,189 Comparison Views

80% willing to recommend

OpenText Software Delivery ...

Read 41 OpenText Software Delivery Management reviews

7,156 Views
6,655 Comparison Views

92% willing to recommend

Digital.ai Agility

OpenText Software Delivery ...

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

Digital.ai Agility and OpenText Software Delivery Management compete in agile project management and software delivery. OpenText offers a comprehensive feature set, making it a preferred choice despite higher costs.

Features: Digital.ai Agility is known for robust planning and tracking tools with extensive customization and scalability. OpenText Software Delivery Management provides integrated application lifecycle management, strong traceability, and collaboration tools. Its integration capabilities offer a cohesive solution for end-to-end software delivery management.

Room for Improvement: Digital.ai Agility could enhance its integration capabilities and expand its reporting features. It might benefit from improving its UI for ease of use. OpenText Software Delivery Management's user interface could be more intuitive, and its deployment process simplified. A more flexible pricing structure could make it more appealing to a broader range of customers.

Ease of Deployment and Customer Service: Digital.ai Agility provides cloud-native deployment with strong customer support for swift onboarding and adaptation. OpenText Software Delivery Management offers a versatile deployment model with a focus on professional services, which can lead to a more complex implementation but is supported by robust service offerings.

Pricing and ROI: Digital.ai Agility offers competitive pricing with predictable setup costs, providing a strong return on investment due to efficient processes and scalability. OpenText Software Delivery Management, while incurring higher initial setup costs, delivers significant ROI through its comprehensive feature set and improved project outcomes.

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

Buyer's Guide

Digital.ai Agility vs. OpenText Software Delivery 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

Ranking in Enterprise Agile Planning Tools

7th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Release Automation (12th), Value Stream Management Software (4th)

OpenText Software Delivery ...

Ranking in Application Lifecycle Management (ALM) Suites

8th

Ranking in Enterprise Agile Planning Tools

8th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.7%, up from 2.0% compared to the previous year. The mindshare of OpenText Software Delivery Management is 6.5%, up from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Lifecycle Management (ALM) Suites Mindshare Distribution
Product	Mindshare (%)
OpenText Software Delivery Management	6.5%
Digital.ai Agility	2.7%
Other	90.8%

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.

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Peter-Paul Eijkenboom

Senior Test Automation Specialist at APG

Generating audit evidence effortlessly saves time and money

OpenText ALM Octane is a new product with full development ongoing, where new ideas are launched regularly. Its ability to generate audit evidence with a single click is a significant advantage, as it saves considerable time and money compared to manual processes. This efficiency is especially valuable for audits required by financial regulators.

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

"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."

"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."

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

"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."

"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."

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

"It allows my clients to have one central tool to manage their agile projects."

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

More Digital.ai Agility pros

"A valuable feature is the pipeline, so that we can now connect to Jenkins and then have all the results from testing, from external, in the tool, so that we can see the whole approach from there. Also, We can work with labels so we have better filtering solutions than in ALM. And it's much smarter and leaner to use than ALM."

"People really how easy it is to customize. In some previous tools, that has been very limited, or you had to know how to write code to do some of the customizations, or it was very confusing. Going back to the user interface, they've made the customization of the tool, the workspace settings, very easy for people to figure out and use."

"The community response was so overwhelming that we went into a production mode within the first quarter and began setting up and migrating teams within the first year."

"Just jump in, go ahead."

"With an Octane project, we have our automation, our requirements, our tests, our pipeline into build-and-deploy, and the ability to identify problem areas. It makes things quicker because it's more along the lines of an automated process."

"We looked at all the market-leading tools, but we did not find anything quite as comprehensive as ALM Octane. When I say comprehensive, it's not just a single tool for Agile planning, backlog management release, sprint planning, etc., but it also has a built-in, comprehensive quality management module. It also has pipelines where we can hook up with our DevOps ecosystem/toolchain."

"The most valuable feature is CI/CD integration, and it is a good fit into the Agile lifecycle."

"We like Micro Focus ALM Octane because its performance is okay, and its stability is okay, so we use it a lot. The platform is easy to use."

More OpenText Software Delivery Management pros

Cons

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

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

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

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

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

"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."

"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."

"Currently, Micro Focus ALM Octane is considered an old-world tool in the industry and lacks the perception of being a new-age tool among its customers."

"Documentation is not clear."

"I haven't been impressed with the reporting from a requirements matrix and a traceability perspective."

"The biggest challenge for us is to bridge the ALM practices for testing more directly into Octane."

"Octane, from an administration perspective, is very limited."

"The cluster architecture that we implemented was server to server communication: Octane application to Elasticsearch and Elasticsearch to another Elasticsearch service. Recently, we found this is a security gap. The Octane application is interacting with Elasticsearch server, but that was missing from the requirements and prerequisites in the setup. The Micro Focus team has not given advice on how to implement authentication-based communication between Octane to Elasticsearch, and we found it as a gap later, then our security team asked us to fix that gap. So, there was a lot of time spent on rework."

"There are some challenges when we want to integrate the tool with other products, and it takes time for a team to figure out how to do it."

"Also, while there is a Requirements Module in Octane, it is very plain. It's okay to have some requirements described there, but it's not really following the whole BDD approach. I would like to have more features for requirements in there."

More OpenText Software Delivery 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."

"In terms of pricing, it's comparable to what we had previously. It's not priced at the higher end of the scale by any means. It's priced nicely, in the middle of the market. For what you're getting, it's a very good tool."

"I rate the tool's pricing an eight on a scale from one to ten, where ten is very expensive."

"There is a conversion fee for changing licenses."

"I would say that it is an affordable product. There is an annual service fee, which is one of the additional payments to be made apart from the standard licensing costs attached to the solution."

"The product is highly priced compared to other tools."

"If you compare the price with the functionality, it is pretty much the same as other solutions. If you compare it to Jira, for instance, it has a lot more functionality. You don't need any plug-ins, but it's also more expensive. Once you start adding your different plug-ins to Jira, you'll probably end up with the same amount or more. There is also a yearly support cost, which is usually 25% of the initial cost of the license."

"The price of Micro Focus ALM Octane is too high compared to other solutions."

"I rate the product price an eight on a scale of one to ten, where one is cheap, and ten is expensive. The product is neither cheap nor expensive."

More OpenText Software Delivery Management pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Insurance Company

11%

Construction Company

Financial Services Firm

16%

Manufacturing Company

11%

Outsourcing Company

Computer Software 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	7
Midsize Enterprise	2
Large Enterprise	34

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

Is Jira better or would you go with Micro Focus ALM Octane?

Hi Netanya, Basically , it all depends on the use cases for your environment and the business needs. Hope the below data may be relevant to you for identifying your needs and deciding on the approp...

See all answers

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

OpenText ALM Octane is an expensive product. However, it offsets costs by saving time and money, thus creating a balance between expenses and benefits. Our organization with over 1500 users sees sa...

See all answers

What needs improvement with Micro Focus ALM Octane?

There is room for improvement in OpenText ALM Octane's flexibility. While it aims to be as flexible as possible for a large enterprise application, sometimes there are limitations that may not meet...

See all answers

Comparisons

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Compared 12% of the time

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Compared 6% of the time

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Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

Original Software Qualify vs Digital.ai Agility

Compared 3% of the time

More Digital.ai Agility Competitors

Jira vs OpenText Software Delivery Management

Compared 42% of the time

Rally Software vs OpenText Software Delivery Management

Compared 6% of the time

Microsoft Azure DevOps vs OpenText Software Delivery Management

Compared 6% of the time

Polarion ALM vs OpenText Software Delivery Management

Compared 5% of the time

ServiceNow Strategic Portfolio Management vs OpenText Software Delivery Management

Compared 1% of the time

More OpenText Software Delivery Management Competitors

Product Reports

Buyer's Guide

Digital.ai Agility

September 2026

Download Digital.ai Agility product report

Buyer's Guide

OpenText Software Delivery Management

August 2026

OpenText Software Delivery Management report

Download OpenText Software Delivery Management product report

Also Known As

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

Micro Focus ALM Octane, Micro Focus Octane

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 Software Delivery Management provides application lifecycle management with Agile and Waterfall support. It features intuitive interfaces, CI/CD integration, automated testing, and robust reporting, improving project management efficiency and usability.

Designed to enhance teams' productivity and streamline processes, OpenText Software Delivery Management integrates seamlessly with Agile methodologies. Its comprehensive backlog and requirements management, user stories, and test management make it a complete tool for managing the development lifecycle. The platform aligns with DevOps, providing traceability and extensive customization options. Traceability from requirements to deployments is enhanced, making it easier for teams to track progress. It offers integration with popular tools like Jenkins and JIRA, ensuring a unified approach to continuous delivery and testing management.

What key features does OpenText Software Delivery Management include?

Versatile across browsers with consistent performance.
Seamless CI/CD integration for smooth development processes.
Intuitive interface aiding in efficiency and ease of use.
Comprehensive backlog management ensures organized prioritization.
Automated testing aligns with Agile and DevOps principles.

What benefits can users expect when evaluating OpenText Software Delivery Management?

Enhanced traceability from inception to delivery.
Improved project management efficiency through streamlined processes.
Robust reporting capabilities offering detailed insights.
Increased flexibility in customization enabling tailored experiences.
Predictive analytics for better decision-making.

OpenText Software Delivery Management is implemented across technology-focused industries, supporting Agile processes like requirements management and defect tracking. Organizations use it to standardize development workflows and optimize continuous delivery integration, choosing it for its ability to support both Agile and Waterfall methodologies within application lifecycle management.

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

Orange, Airbus, Haufe Group, Kellogg's, Claro, Bon Secours, World Wide Technology

Buyer's Guide

Digital.ai Agility vs. OpenText Software Delivery Management

September 2026

Free Report: Digital.ai Agility vs. OpenText Software Delivery Management

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

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