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Compare Azure DevOps Server and GitLab 
At a Glance
Market Segments
Enterprise (40.3% of reviews)
Small-Business (37.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure DevOps Server
Star Rating
(192)4.2 out of 5
Market Segments
Enterprise (40.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure DevOps ServerGitLab
Star Rating
(835)4.5 out of 5
Market Segments
Small-Business (37.5% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about GitLabSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure DevOps Server excels in its API / Integrations capabilities, scoring 9.2, which allows for seamless integration with various tools and services. In contrast, GitLab, while also strong at 8.9, does not offer the same level of extensibility that Azure DevOps provides.
- Reviewers mention that GitLab shines in Ease of Use with a score of 8.7 compared to Azure DevOps Server's 7.9. Users appreciate GitLab's intuitive interface and streamlined workflows, making it easier for teams to adopt and utilize effectively.
- G2 users highlight Azure DevOps Server's superior Configuration Management with a score of 8.8, which is crucial for enterprise-level projects. GitLab, while competitive, scored slightly lower at 8.7, indicating that Azure DevOps may be better suited for complex configurations.
- Reviewers say that GitLab's Test Automation features are robust, scoring 9.1, which users find beneficial for continuous integration and delivery. Azure DevOps Server, while also strong at 9.0, does not have the same level of user satisfaction in this area.
- Users on G2 report that Azure DevOps Server's Quality of Support is rated at 8.2, which some users find lacking compared to GitLab's 8.5. Reviewers mention that GitLab's support team is more responsive and helpful, enhancing the overall user experience.
- Reviewers mention that GitLab's Continuous Deployment capabilities are rated at 8.9, which users find essential for agile development practices. Azure DevOps Server, while also effective, scored slightly lower at 8.7, indicating that GitLab may offer a more streamlined approach to deployment processes.
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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
179
9.1
625
Ease of Use
7.9
179
8.7
627
Ease of Setup
7.1
63
8.5
187
Ease of Admin
7.5
59
8.6
166
Quality of Support
8.2
139
8.5
492
Has the product been a good partner in doing business?
7.6
53
8.8
141
Product Direction (% positive)
7.9
177
8.7
593
Features by Category
Administration
Not enough data
8.7
117
Not enough data
8.9
125
Not enough data
8.6
117
Functionality
Not enough data
9.0
123
Not enough data
8.6
109
Not enough data
8.5
104
Not enough data
8.7
109
Not enough data
8.6
98
Processes
Not enough data
9.1
126
Not enough data
9.0
115
Not enough data
8.7
115
Administration
Not enough data
9.1
24
Not enough data
9.0
23
Analysis
Not enough data
8.5
22
Not enough data
8.8
23
Not enough data
9.0
23
Not enough data
8.7
22
Testing
Not enough data
8.6
23
Not enough data
8.6
23
Not enough data
8.9
22
Not enough data
8.6
22
Not enough data
8.6
20
Not enough data
8.2
20
Not enough data
8.5
20
Agentic AI - Static Application Security Testing (SAST)
Not enough data
Not enough data
Administration
Not enough data
9.2
24
Not enough data
8.8
23
Analysis
Not enough data
8.4
23
Not enough data
9.1
23
Not enough data
8.8
23
Not enough data
8.8
23
Not enough data
8.9
23
Testing
Not enough data
8.6
22
Not enough data
9.1
22
Not enough data
8.9
21
Not enough data
9.0
20
Not enough data
8.9
19
Not enough data
9.1
20
Administration
Not enough data
8.8
74
Not enough data
8.7
75
Not enough data
8.7
72
Not enough data
8.9
77
Automation
Not enough data
8.9
76
Not enough data
8.4
69
Not enough data
9.0
76
Not enough data
8.6
70
IT Management
Not enough data
8.6
71
Not enough data
8.8
71
Not enough data
8.6
68
Functionality
8.9
24
8.8
197
8.6
24
8.9
197
8.5
24
8.7
190
Management
8.9
24
8.7
184
8.7
24
8.4
177
8.5
24
8.9
190
Agentic AI - Continuous Delivery
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
Bug Reporting
Not enough data
8.6
124
Not enough data
8.5
118
Not enough data
8.5
126
Bug Monitoring
Not enough data
8.4
123
Not enough data
8.8
131
Not enough data
8.8
123
Agentic AI - Bug Tracking
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - Software Composition Analysis
Not enough data
8.8
62
Not enough data
8.7
67
Not enough data
8.7
64
Effectiveness - Software Composition Analysis
Not enough data
8.8
61
Not enough data
8.9
61
Not enough data
8.9
58
Management
Not enough data
8.8
129
Not enough data
8.8
134
Not enough data
8.5
122
Functionality
Not enough data
8.8
134
Not enough data
8.8
134
Not enough data
8.7
126
Processes
Not enough data
9.0
138
Not enough data
8.5
127
Not enough data
8.9
141
Functionality
8.8
31
|
Verified
8.9
207
|
Verified
8.4
32
|
Verified
8.6
194
|
Verified
8.4
30
8.4
189
|
Verified
Management
8.8
32
|
Verified
8.9
197
|
Verified
8.7
33
|
Verified
8.7
200
|
Verified
8.4
33
|
Verified
8.4
182
|
Verified
Agentic AI - Continuous Integration
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
Documentation
Not enough data
8.8
110
Not enough data
8.6
106
Not enough data
8.4
107
Security
Not enough data
7.9
95
Not enough data
8.4
95
Not enough data
8.9
104
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
37
Not enough data
8.7
39
Not enough data
8.6
35
Not enough data
8.8
35
Value Management
Not enough data
9.0
37
Not enough data
8.6
39
Not enough data
8.8
38
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
29.6%
Computer Software
23.7%
Hospital & Health Care
4.8%
Financial Services
4.8%
Insurance
2.7%
Other
34.4%
Computer Software
33.6%
Information Technology and Services
23.6%
Internet
4.0%
Financial Services
3.5%
Computer & Network Security
2.3%
Other
32.9%
Most Helpful Reviews
Azure DevOps Server
Most Helpful Favorable Review
Erin H.
Verified User in Internet
I love TFS. I love the way it tracks bugs, I love the way it manages and tracks deployments to different environments, and I love the way it manages test cases, test plans, requirements, and features, as well as tasks. Our company currently has it set up so...
Most Helpful Critical Review
Dmitry R.
Verified User in Information Technology and Services
Code review process, comments without dates and commentator name. The TFS Addon for integration with windows explorer(Microsoft Visual Studio Team Foundation Server Power Tools) has bugs with folders. I spent a lot of time before I found a solution. After...
GitLab
Most Helpful Favorable Review
Daniel B.
Verified User in Public Policy
The built-in features of Auto DevOps have made our experience more rewarding and effective.
Most Helpful Critical Review
Adrián D.
Verified User in Computer & Network Security
Not good support, even more, not at all. Self service git platform, when you have any problem there is o way to get real support, even being interested in premium version no-one contact us back.
Erin H.
Verified User in Internet
I love TFS. I love the way it tracks bugs, I love the way it manages and tracks deployments to different environments, and I love the way it manages test cases, test plans, requirements, and features, as well as tasks. Our company currently has it set up so...
Daniel B.
Verified User in Public Policy
The built-in features of Auto DevOps have made our experience more rewarding and effective.
Dmitry R.
Verified User in Information Technology and Services
Code review process, comments without dates and commentator name. The TFS Addon for integration with windows explorer(Microsoft Visual Studio Team Foundation Server Power Tools) has bugs with folders. I spent a lot of time before I found a solution. After...
Adrián D.
Verified User in Computer & Network Security
Not good support, even more, not at all. Self service git platform, when you have any problem there is o way to get real support, even being interested in premium version no-one contact us back.
Alternatives
Discussions
Is Team Foundation Server part of Visual Studio?
1 comment
PP
No.Read 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
Is GitLab free software?
4 comments
RB
Yes, in that for non-commercial users, payment is unnecessary. Additionally, its source is publicly available.Read more
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