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Digital.ai Release Reviews

Vendor: Digital.ai
4.3 out of 5
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What is Digital.ai Release?

Digital.ai Release enhances deployment pipelines, integrating with tools like GitHub and Jenkins. It enables coordination across development, testing, and production while reducing manual efforts, making it ideal for large projects.

Get the Digital.ai Release Buyer's Guide and find out what your peers are saying about Digital.ai Release, Snyk, Checkmarx One and more!
Digital.ai Release is the #6 ranked solution in top DevSecOps solutions, #9 ranked solution in top Release Automation solutions, and #15 ranked solution in top Build Automation solutions. PeerSpot users give Digital.ai Release an average rating of 8.6 out of 10. Digital.ai Release is most commonly compared to Snyk: Digital.ai Release vs Snyk. Digital.ai Release is popular among the large enterprise segment, accounting for 60% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 30% of all views.
Buyer's Guide
Digital.ai Release
June 2026
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Digital.ai Release mindshare

Product category:
Build Automation
As of June 2026, the mindshare of Digital.ai Release in the Build Automation category stands at 2.8%, up from 0.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Build Automation Mindshare Distribution
ProductMindshare (%)
Digital.ai Release2.8%
Jenkins9.1%
GitLab6.8%
Other81.3%
Build Automation

PeerResearch reports based on Digital.ai Release reviews

TypeTitleDate
CategoryBuild AutomationJun 17, 2026Download
ProductReviews, tips, and advice from real usersJun 17, 2026Download
ComparisonDigital.ai Release vs JenkinsJun 17, 2026Download
ComparisonDigital.ai Release vs GitLabJun 17, 2026Download
ComparisonDigital.ai Release vs GitHub ActionsJun 17, 2026Download
Suggested products
TitleRatingMindshareRecommending
Snyk4.1N/A100%51 interviewsAdd to research
Checkmarx One3.9N/A88%81 interviewsAdd to research
 
 
Key learnings from peers
Last updated Jun 17, 2026

Valuable Features

Digital.ai Release offers valuable features like release orchestration, reusable pipeline templates, integration with tools like Bamboo, Flyway, and Jira, and automation reducing manual tasks. It enables communication with various deployment systems and supports environment management through XLD. The system's ability to handle cohesive workflows, track release status, and provide built-in metrics enhances deployment reliability. Notifications via MS Teams and artifact management using environment variables simplify processes for teams.
  • "Involving both infrastructure and application teams in the same pipeline has genuinely helped my process, as we have one specific person starting the pipeline, another approving it, and another coordinating as DevOps or monitoring all processes from the infrastructure side, providing excellent assistance because we have different and clearly separated responsibilities."
  • "Since using Digital.ai Release, one of the benefits is standardizing the way I release to my Azure environment, which in the long term will help me reduce costs and improve efficiency."
  • "Since using Digital.ai Release, time has been saved, money has been saved, and staffing requirements have been reduced."

Room for Improvement

Digital.ai Release requires a simplified interface for beginners and enhanced onboarding materials. Users find the pricing high, suggesting role-based pricing modifications. The system could benefit from a Guardian-compatible plugin and improved artifact management to automate deployment instructions. Users recommend exploring its cloud capabilities and addressing automation for backfilling. They seek additional plugins for deployment tools like PDQ Deploy.
  • "Sometimes it can be tedious when fulfilling multiple different packages with their key and value pairs."
  • "To improve Digital.ai Release, I think the user interface could be improved."
  • "One improvement for Digital.ai Release could be to simplify the user interface for beginners."

Pricing

  • "The solution's license includes all features."
  • "Overall, the price is just too high; especially considering we're in the middle of a pandemic."

Popular Use Cases

Organizations utilize Digital.ai Release to orchestrate and automate application release pipelines, coordinate deployment, and manage releases through various stages like testing and production. It integrates with tools like GitHub and Jenkins to streamline processes and save time by reducing manual coordination. It supports SQL database upgrades, server management, and documentation creation. Some users reported challenges due to its complexity and cost, affecting adoption within their teams.

Service and Support

Digital.ai Release customer service and support are seen as highly cooperative and effective. Large organizations report satisfaction with the comprehensive support options purchased. Teams appreciate quick issue resolution and knowledgeable agents. High technical support ratings are noted, meeting essential needs such as high availability and security. Interactions with the support team typically result in satisfactory outcomes, with no reported issues in technical assistance.

Deployment

Digital.ai Release's initial setup is generally straightforward, though complexity can arise with integrated systems. Some users find installation easy, rating it highly, while others note that understanding terminology is key to easing the process. Significant reduction in deployment time is appreciated, with automation features such as Jira integration enhancing efficiency. Exploring templates is encouraged to familiarize with the tool. The learning curve exists but tends to be manageable with practice.

Scalability

Digital.ai Release demonstrates strong scalability across various platforms, scoring high for its capacity to expand. While it efficiently scales with additional memory and resources, users note a lack of auto-scaling features in fixed-capacity setups. Deployment processes are perceived as flexible, capable of scaling small to large operations, largely dependent on the number of pipeline objects utilized. Users generally agree on its reliability in handling numerous deployments effectively.

Stability

Users find Digital.ai Release mostly stable, with high reliability and minor issues. While many rate its stability highly, some have noted occasional errors that disrupt deployment processes, leading to manual work. One organization attributed instability to their outdated deployment target, which may not directly reflect on Digital.ai Release. Despite these few concerns, the consistency and dependability are overall appreciated by those utilizing it.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Digital.ai Release Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business1
Midsize Enterprise2
Large Enterprise4
By reviewers
By visitors reading reviews
Company SizeCount
Small Business28
Midsize Enterprise7
Large Enterprise53
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
30%
Manufacturing Company
9%
Computer Software Company
9%
Construction Company
7%
Insurance Company
6%
Government
6%
Comms Service Provider
6%
Healthcare Company
5%
Wholesaler/Distributor
3%
Educational Organization
3%
Media Company
2%
Hospitality Company
2%
University
2%
Legal Firm
2%
Religious Institution
1%
Aerospace/Defense Firm
1%
Transportation Company
1%
Consumer Goods Company
1%
Logistics Company
1%
Newspaper
1%
Pharma/Biotech Company
1%

Compare Digital.ai Release with alternative products

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Learn more about Digital.ai Release

Digital.ai Release is designed to automate and orchestrate application deployments, offering features like email approvals, deployment notifications, and system communication with XLD. It supports integration with tools such as Bamboo, Jira, and MS Teams to create standardized deployment processes. While needing a simpler interface for newcomers, it provides efficient handling of environment-specific configurations and process oversight with metrics and data retention. Challenges include the high cost and complexity, with demands for improved mainframe migration support, automated deployment instructions, differentiated pricing by roles, enhanced cloud capabilities, and additional plugins.

What are the key features of Digital.ai Release?
  • Orchestration: Streamlines coordination across deployment stages.
  • Automated Workflows: Reduces manual documentation and efforts.
  • Pipeline Templates: Ensures standardized deployment processes.
  • Reliable Rollbacks: Facilitates seamless process reversals.
  • Tool Integrations: Connects with Jira, Bamboo, and MS Teams.
  • Deployment Notifications: Communicates updates efficiently with systems like XLD.
What benefits should users consider in reviews?
  • Reduced Manual Effort: Automates processes, saving time and resources.
  • Consistent Deployment: Ensures repeatable, reliable deployment practices.
  • Process Oversight: Enhances visibility with metrics and data retention.
  • Efficient Communication: Improves stakeholder engagement through notifications.

Digital.ai Release has found robust implementation in industries managing large-scale deployments, such as software development and IT services. It assists in orchestrating SQL database upgrades, server deployments, and user orchestration while enhancing release documentation and cross-team communication. This makes it valuable for teams requiring integration and logging through tools like Jira in complex projects like artifact installation and continuous delivery environments.

Digital.ai Release was previously known as XL Release, XebiaLabs XL Release .

Digital.ai Release customers

3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank

Related questions

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Should project automation software be integrated with cloud-based tools?
  • 137
Is there a need for workflow automation?
  • 134
What is the Robotic Process Automation (RPA) life cycle?
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Why is Build Automation important for companies?

Product Categories

Product Categories
Build Automation
Release Automation
DevSecOps

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Digital.ai Release Reviews Summary
Author infoRatingReview Summary
Application Architect at a insurance company with 1,001-5,000 employees4.5I use Digital.ai Release to standardize Azure cloud resource deployments, valuing its seamless Jenkins integration, templating, and efficiency gains. While I'd like UI and AI improvements, its flexibility and standardization make it a great tool.
Cloud Platform at Futurescape4.5Digital.ai Release orchestrates and automates our pipelines, improving reliability and delivering significant ROI. It's stable, scalable, and ideal for enterprise teams. I'd only suggest simplifying its UI and providing better onboarding for new users.
Release Manager at a consultancy with 201-500 employees4.0I rate Digital.ai Release 8/10. It's stable, and I value its custom pipelines and role-based interactions, finding it easier than customized Jenkins. My key improvements would be an API for automation and better handling of package entry errors.
Software Configuration Specialist at a insurance company with 10,001+ employees4.5I work for an insurance company using Digital.ai Release for software deployment across different environments. Its integration with MS Teams, plugins for Bamboo, and environment management features are valuable, though I seek to explore its cloud capabilities further.
DevOps Tech Lead at a financial services firm with 5,001-10,000 employees4.5Our company uses Digital.ai Release to handle deployments and manage users, integrating with tools like GitHub and Jenkins. The solution is efficient but somewhat expensive. We use AWS as our cloud provider and have 160 users.
DevOps Engineer at LTIMINDTREE3.5Digital.ai Release streamlines documentation and deployment processes, significantly reducing manual work and saving time. It enables quick rollbacks with Jenkins. However, automatic artifact detail integration could enhance its efficiency, as manual input is currently required.
Software Configuration Specialist at a insurance company with 10,001+ employees4.5I use Digital.ai Release to manage our integrated system releases, leveraging its seamless integration with tools like Bamboo and Jira. While effective, it could improve with better support for Guardian. This solution simplifies my role as a technical release manager.
Senior, Workload Automation Analyst at a government with 501-1,000 employees4.0I tested XebiaLabs XL Release, finding its orchestration and stability good, but the high cost and user-based pricing were prohibitive. While effective, it felt overly complex, ultimately leading us not to purchase despite its positive features.