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Digital.ai Deploy vs GitLab comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.8
The software improved operational efficiency, reduced costs, and enhanced project predictability, promising positive ROI within two years.
Sentiment score
7.6
GitLab offers excellent ROI by reducing deployment time, supporting users, improving DevOps scores, and enhancing project management.
Migrating to GitLab is bringing time-saving benefits, and everything is easier to automate.
We have saved time significantly, reducing deployment time from four hours to five minutes per deployment.
 

Customer Service

Sentiment score
7.0
Digital.ai Deploy support is praised for promptness and knowledge, but some report slow responses and ineffective resolutions.
Sentiment score
6.8
GitLab's customer support is generally well-regarded, with users appreciating community forums, fast responses for paid versions, and third-party assistance.
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
 

Scalability Issues

Sentiment score
5.9
Digital.ai Deploy is user-friendly and adaptable, efficiently scaling deployments despite some concerns about scalability features and potential failures.
Sentiment score
7.4
GitLab's scalable container architecture efficiently manages diverse user sizes, with potential improvements for large deployments and on-premises setups.
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
We're transitioning to OpenShift for future scalability with increased user numbers.
 

Stability Issues

Sentiment score
6.8
Digital.ai Deploy is stable with minimal downtime, though users note performance issues when managing multiple systems or environments.
Sentiment score
8.3
GitLab is highly stable, with minimal glitches, reliable performance under pressure, and user satisfaction ratings of 7-10.
I have not encountered any performance or stability issues with GitLab so far.
 

Room For Improvement

Digital.ai Deploy needs an updated interface and documentation, with improved support due to performance issues and plugin challenges.
GitLab requires better AWS integration, UI, documentation, project management, security, and reduced pricing with enhanced leadership dashboards and testing tools.
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
The UI has remained the same for a couple of years and could benefit from an update with AI features and better customization.
GitLab is a great tool for developers, it lacks project planner features.
 

Setup Cost

Digital.ai Deploy's setup costs range from €120k-€170k, with daily maintenance at €500, offering flexible licenses and volume discounts.
GitLab offers free and paid plans, with enterprise options valued for features but sometimes seen as expensive.
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
The price is high, and it limits user accessibility.
Even when working in other small organizations, we opted for GitLab as it was cost-efficient.
 

Valuable Features

Digital.ai Deploy streamlines complex deployments with "One Click" processes, extensibility, compliance management, and integration with multiple server environments.
GitLab excels in CI/CD with user-friendly interfaces, seamless integration, automation, and scalability, enhancing productivity and collaboration.
As we implement automated testing and DevSecOps, it speeds up the process by forty to sixty percent.
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
The feature I appreciate the most about GitLab is its ease of use and compatibility, which allows for straightforward building and deployment processes.
 

Categories and Ranking

Digital.ai Deploy
Ranking in Release Automation
12th
Average Rating
7.4
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
No ranking in other categories
GitLab
Ranking in Release Automation
2nd
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
82
Ranking in other categories
Application Security Tools (8th), Build Automation (1st), Static Application Security Testing (SAST) (8th), Rapid Application Development Software (12th), Software Composition Analysis (SCA) (5th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (2nd), DevSecOps (3rd)
 

Mindshare comparison

As of February 2025, in the Release Automation category, the mindshare of Digital.ai Deploy is 0.7%, down from 0.8% compared to the previous year. The mindshare of GitLab is 35.6%, up from 31.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Release Automation
 

Featured Reviews

Dorian Sezen - PeerSpot reviewer
Good solution for heterogeneous enterprise environments that have different workflows
The solution is for heterogeneous enterprise environments that have different workflows like Kubernetes, Linux, Windows, and mainframe The solution creates a manifest file that caps the bridge between the developer and the system admin. The tool needs to improve on cloud-native GitOps. I have…
Gaurav Chandel - PeerSpot reviewer
Boosted productivity with automated pipelines and seamless collaboration
There are some challenges with repository file management as GitLab may struggle to manage larger files. Improvements could be made regarding size management and file partitioning. Also, the UI has remained the same for a couple of years and could benefit from an update with AI features and better customization.
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Top Industries

By visitors reading reviews
Financial Services Firm
40%
Computer Software Company
17%
Insurance Company
10%
Healthcare Company
5%
Educational Organization
29%
Financial Services Firm
11%
Computer Software Company
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Digital.ai Deploy?
The solution creates a manifest file that caps the bridge between the developer and the system admin.
What is your experience regarding pricing and costs for Digital.ai Deploy?
The product’s pricing is acceptable. We get volume discounts.
What needs improvement with Digital.ai Deploy?
The tool needs to improve on cloud-native GitOps.
What do you like most about GitLab?
I find the features and version control history to be most valuable for our development workflow. These aspects provide us with a clear view of changes and help us manage requests efficiently.
What is your experience regarding pricing and costs for GitLab?
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
What needs improvement with GitLab?
There are missing search features, particularly when searching repositories or applying filters. Additionally, I have encountered issues with the deployment of CI/CD pipelines, especially dealing w...
 

Comparisons

No data available
 

Also Known As

Deployit, XLDeploy, XebiaLabs XL Deploy
Fuzzit
 

Overview

 

Sample Customers

American Express, Xerox, Fandango, Rabobank, Cable & Wireless, Air France, 3M, GE, Liberty Mutual, EA
1. NASA  2. IBM  3. Sony  4. Alibaba  5. CERN  6. Siemens  7. Volkswagen  8. ING  9. Ticketmaster  10. SpaceX  11. Adobe  12. Intuit  13. Autodesk  14. Rakuten  15. Unity Technologies  16. Pandora  17. Electronic Arts  18. Nordstrom  19. Verizon  20. Comcast  21. Philips  22. Deutsche Telekom  23. Orange  24. Fujitsu  25. Ericsson  26. Nokia  27. General Electric  28. Cisco  29. Accenture  30. Deloitte  31. PwC  32. KPMG
Find out what your peers are saying about Digital.ai Deploy vs. GitLab and other solutions. Updated: January 2025.
838,713 professionals have used our research since 2012.