Compare Azure DevOps Server and GitLab 
At a Glance
Market Segments
Enterprise (40.8% of reviews)
Small-Business (37.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure DevOps Server
Star Rating
(197)4.2 out of 5
Market Segments
Enterprise (40.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure DevOps ServerGitLab
Star Rating
(887)4.5 out of 5
Market Segments
Small-Business (37.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about GitLabSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that GitLab excels in user experience, with an intuitive interface that simplifies tasks like code searching and managing pipelines. Users appreciate how straightforward it is to open and review merge requests, making daily development smoother.
- Users say Azure DevOps Server offers a robust integrated toolset that supports project management, build automation, and version control all in one place. This flexibility allows teams to collaborate effectively, with features that facilitate senior-level reviews and final sign-offs.
- According to verified reviews, GitLab's all-in-one platform reduces the need for multiple tools, combining source control, CI/CD, and issue tracking seamlessly. This integration helps streamline workflows and minimizes the mental overhead associated with switching between different applications.
- Reviewers mention that while Azure DevOps Server provides strong integration capabilities with various development tools, some users find it challenging to configure to their specific workflows, which can hinder the overall experience.
- G2 reviewers highlight that GitLab's built-in CI/CD functionality works out of the box, allowing users to set up pipelines quickly with minimal configuration. This ease of setup is a significant advantage for teams looking to implement continuous delivery without extensive overhead.
- Users report that Azure DevOps Server has solid support features, with built-in reporting and insights that help teams track progress effectively. However, GitLab slightly edges out in support quality, with users noting a more responsive and helpful support experience overall.
Pricing
Entry-Level Pricing
Azure DevOps Server
No pricing availableGitLab
No pricing availableFree Trial
Azure DevOps Server
No trial information availableGitLab
Free Trial is available
Ratings
Meets Requirements
8.7
184
9.1
675
Ease of Use
7.9
184
8.7
678
Ease of Setup
7.2
67
8.6
237
Ease of Admin
7.4
60
8.6
173
Quality of Support
8.2
143
8.5
537
Has the product been a good partner in doing business?
7.6
54
8.8
148
Product Direction (% positive)
7.9
182
8.8
640
Features by Category
Administration
Not enough data
8.7
125
Not enough data
8.9
131
Not enough data
8.6
125
Functionality
Not enough data
9.0
132
Not enough data
8.5
115
Not enough data
8.5
109
Not enough data
8.7
114
Not enough data
8.6
103
Processes
Not enough data
9.1
135
Not enough data
9.0
122
Not enough data
8.7
122
Administration
Not enough data
9.3
32
Not enough data
9.0
29
Analysis
Not enough data
8.7
27
Not enough data
9.0
29
Not enough data
9.2
28
Not enough data
8.9
27
Testing
Not enough data
8.8
30
Not enough data
8.7
26
Not enough data
9.2
28
Not enough data
8.8
26
Not enough data
8.8
24
Not enough data
8.5
25
Not enough data
8.8
24
Agentic AI - Static Application Security Testing (SAST)
Not enough data
Not enough data
Administration
Not enough data
9.2
25
Not enough data
8.9
24
Analysis
Not enough data
8.5
24
Not enough data
9.2
24
Not enough data
8.8
24
Not enough data
8.9
24
Not enough data
9.0
24
Testing
Not enough data
8.6
23
Not enough data
9.1
23
Not enough data
8.9
22
Not enough data
9.0
21
Not enough data
9.0
20
Not enough data
9.1
21
Administration
Not enough data
8.7
77
Not enough data
8.7
78
Not enough data
8.7
75
Not enough data
8.8
81
Automation
Not enough data
8.9
79
Not enough data
8.4
72
Not enough data
9.0
79
Not enough data
8.7
73
IT Management
Not enough data
8.7
74
Not enough data
8.9
74
Not enough data
8.6
71
Functionality
8.9
25
8.8
217
8.6
25
9.0
221
8.5
24
8.7
204
Management
8.9
25
8.8
205
8.7
25
8.3
194
8.5
25
8.9
214
Agentic AI - Continuous Delivery
Not enough data
8.0
9
Not enough data
8.3
11
Not enough data
7.5
10
Not enough data
7.5
10
Not enough data
7.2
9
Bug Reporting
Not enough data
8.6
139
Not enough data
8.5
133
Not enough data
8.6
141
Bug Monitoring
Not enough data
8.5
138
Not enough data
8.8
146
Not enough data
8.8
135
Agentic AI - Bug Tracking
Not enough data
8.3
9
Not enough data
7.9
8
Not enough data
8.3
8
Functionality - Software Composition Analysis
Not enough data
8.7
66
Not enough data
8.8
72
Not enough data
8.7
67
Effectiveness - Software Composition Analysis
Not enough data
8.8
64
Not enough data
9.0
64
Not enough data
9.0
62
Management
Not enough data
8.8
149
Not enough data
8.8
151
Not enough data
8.5
138
Functionality
Not enough data
8.8
156
Not enough data
8.8
154
Not enough data
8.6
141
Processes
Not enough data
9.0
159
Not enough data
8.5
143
Not enough data
9.0
161
Functionality
8.8
33
|
Verified
8.9
228
|
Verified
8.4
33
|
Verified
8.6
210
|
Verified
8.5
33
8.4
204
|
Verified
Management
8.9
35
|
Verified
8.9
217
|
Verified
8.8
37
|
Verified
8.7
215
|
Verified
8.5
36
|
Verified
8.4
199
|
Verified
Agentic AI - Continuous Integration
Not enough data
7.3
11
Not enough data
7.8
13
Not enough data
7.4
11
Not enough data
7.1
11
Not enough data
7.6
11
Documentation
Not enough data
8.8
117
Not enough data
8.6
112
Not enough data
8.4
112
Security
Not enough data
8.0
101
Not enough data
8.4
101
Not enough data
9.0
110
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Code Generation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Value Analysis
Not enough data
8.9
40
Not enough data
8.7
41
Not enough data
8.6
36
Not enough data
8.9
38
Value Management
Not enough data
9.0
39
Not enough data
8.7
42
Not enough data
8.9
40
Categories
Categories
Shared Categories
Azure DevOps Server and GitLab are categorized as Version Control Hosting, Peer Code Review, Continuous Delivery, and Continuous Integration
Unique Categories
Azure DevOps Server is categorized as Build Automation and Version Control Software
GitLab is categorized as Secure Code Review, DevOps Platforms, Value Stream Management, Software Composition Analysis, Cloud Infrastructure Automation, Dynamic Application Security Testing (DAST), Static Application Security Testing (SAST), Application Release Orchestration, Bug Tracking, and AI Code Generation
Reviews
Reviewers' Company Size
Azure DevOps Server
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
GitLab
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
28.8%
Computer Software
24.6%
Financial Services
4.7%
Hospital & Health Care
4.7%
Insurance
2.6%
Other
34.6%
Computer Software
33.3%
Information Technology and Services
24.3%
Internet
3.9%
Financial Services
3.5%
Telecommunications
2.4%
Other
32.5%
Alternatives
Discussions
Is Team Foundation Server part of Visual Studio?
1 Comment
PP
NORead more
Azure DevOps Server has no more discussions with answers
Is GitLab paid?
5 Comments
PG
Yes, Gitlab is paid as it provides the flexibility to use all the features of the GitHub and Git as well as the freedom to use your own DataBase so that you...Read more
What is GitLab used for?
2 Comments
BR
It is an alternative to GitHub or BitBucket, it handles code versioning and also deployments among other thingsRead more
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