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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
7.0
GitLab enhances ROI through time-saving, cost-effectiveness, improved security, and agility, reducing time to market in the SDLC process.
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
6.7
GitLab's customer support varies, with paid options offering better service and satisfaction depending on user needs and resources.
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
 

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
7.3
GitLab is praised for scalability, with challenges in specific deployments but generally adaptable to growing company needs.
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
For scaling, other deployment options from GitLab's side need to be adopted.
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
8.2
GitLab is praised for its stability and reliability, with minimal issues and high availability, ensuring user satisfaction.
I have not encountered any performance or stability issues with GitLab so far.
The updates are frequent and demanding, happening at least once a week due to security reasons.
 

Room For Improvement

Digital.ai Deploy needs an updated interface and documentation, with improved support due to performance issues and plugin challenges.
GitLab users desire better integrations, reporting, CI/CD capabilities, enhanced UI, AI features, and clarity on pricing and licensing.
It is essential to conduct proper testing, such as unit tests and code coverage, within the SDLC pipelines.
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
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 provides free and paid plans with extensive features, with pricing starting at $19, appealing to scaling enterprises.
The pricing and cost are on par with other tools and are neither too expensive nor cheap.
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 is favored for its user-friendly CI/CD, seamless integration, robust management, collaboration, automation, security, and flexibility.
It helped me personally and my team to save time and money.
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.
 

Categories and Ranking

Digital.ai Deploy
Ranking in Release Automation
16th
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
8.4
Reviews Sentiment
7.1
Number of Reviews
85
Ranking in other categories
Application Security Tools (9th), Build Automation (1st), Static Application Security Testing (SAST) (6th), Rapid Application Development Software (11th), Software Composition Analysis (SCA) (5th), Enterprise Agile Planning Tools (2nd), Fuzz Testing Tools (3rd), DevSecOps (1st)
 

Mindshare comparison

As of June 2025, in the Release Automation category, the mindshare of Digital.ai Deploy is 0.9%, up from 0.7% compared to the previous year. The mindshare of GitLab is 30.7%, down from 35.6% 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…
Rohit Kesharwani - PeerSpot reviewer
Improved agility and time to market with CI/CD enhancements
The CI/CD pipelines in GitLab ( /products/gitlab-reviews ) are highly valuable. Another important feature is the single source of repository, allowing efficient repository management and source code management. GitLab provides manageability by allowing us to manage source code effectively through separate repositories. Additionally, GitLab enables the creation of individual CI/CD pipelines for each repository, making software more agile. By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.
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Top Industries

By visitors reading reviews
Financial Services Firm
37%
Computer Software Company
15%
Insurance Company
9%
Real Estate/Law Firm
8%
Financial Services Firm
13%
Computer Software Company
13%
Educational Organization
12%
Government
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Ask a question
Earn 20 points
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 and cost are on par with other tools and are neither too expensive nor cheap.
What needs improvement with GitLab?
One significant feature we lack is the configuration that enforces code reviews, which simplifies the development life cycle. Unfortunately, this is available only at a higher license level than we...
 

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: June 2025.
859,579 professionals have used our research since 2012.