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.



| Product | Mindshare (%) |
|---|---|
| Digital.ai Release | 2.7% |
| Jenkins | 8.7% |
| GitLab | 7.2% |
| Other | 81.4% |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Snyk | 4.1 | N/A | 100% | 51 interviewsAdd to research |
| Checkmarx One | 3.9 | N/A | 88% | 81 interviewsAdd to research |
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?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 .
3M, GE, John Deere, Deutsche Telekom, Cable & Wireless, Xerox, and Société Générale, Liberty Mutual, EA, Rabobank
| Author info | Rating | Review Summary |
|---|---|---|
| Software Configuration Specialist at a insurance company with 10,001+ employees | 4.5 | I 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. |
| Cloud Platform at Futurescape | 4.5 | Digital.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. |
| DevOps Tech Lead at a financial services firm with 5,001-10,000 employees | 4.5 | Our 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 LTIMINDTREE | 3.5 | Digital.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+ employees | 4.5 | I 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 employees | 4.0 | I 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. |