Compare GitLab and Phabricator 
At a Glance
Market Segments
Small-Business (37.0% of reviews)
Mid-Market (48.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
GitLab
Star Rating
(888)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 GitLabPhabricator
Star Rating
(27)4.3 out of 5
Market Segments
Mid-Market (48.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about PhabricatorSummary
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 viewing code, managing pipelines, and reviewing merge requests. This streamlined approach reduces the mental overhead of switching between tools, making daily development smoother.
- Users say Phabricator offers a comprehensive suite of integrated tools, including task tracking, code review, and CI integration. Reviewers appreciate its ability to minimize context switching, as it encompasses nearly all necessary functions for a development team within a single platform.
- According to verified reviews, GitLab's built-in CI/CD capabilities are a standout feature, allowing users to set up pipelines effortlessly with just a simple configuration file. This out-of-the-box functionality is praised for enhancing productivity and streamlining workflows.
- Reviewers mention that while Phabricator has strong capabilities in bug tracking and peer code review, it struggles with user adoption due to its steeper learning curve and less intuitive setup process compared to GitLab, which is noted for its ease of use and setup.
- G2 reviewers highlight that GitLab's support quality is consistently rated higher, with users appreciating the responsiveness and helpfulness of the support team. In contrast, Phabricator's support has received mixed feedback, indicating room for improvement in this area.
- Users report that both platforms have strong product direction, but GitLab's frequent updates and enhancements keep it aligned with user needs, while Phabricator's slower update cycle can leave some users feeling less confident about its future development.
Pricing
Entry-Level Pricing
GitLab
No pricing availablePhabricator
No pricing availableFree Trial
GitLab
Free Trial is available
Phabricator
No trial information availableRatings
Meets Requirements
9.1
676
8.5
27
Ease of Use
8.7
679
8.4
27
Ease of Setup
8.6
238
6.3
15
Ease of Admin
8.6
173
8.2
14
Quality of Support
8.5
538
8.1
15
Has the product been a good partner in doing business?
8.8
148
8.3
8
Product Direction (% positive)
8.8
641
8.7
27
Features by Category
Administration
8.7
125
Not enough data
8.9
131
Not enough data
8.6
125
Not enough data
Functionality
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
Not enough data
Processes
9.1
135
Not enough data
9.0
122
Not enough data
8.7
122
Not enough data
Administration
9.3
32
Not enough data
9.0
29
Not enough data
Analysis
8.7
27
Not enough data
9.0
29
Not enough data
9.2
28
Not enough data
8.9
27
Not enough data
Testing
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
Not enough data
Agentic AI - Static Application Security Testing (SAST)
Not enough data
Not enough data
Administration
9.2
25
Not enough data
8.9
24
Not enough data
Analysis
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
Not enough data
Testing
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
Not enough data
Administration
8.7
77
Not enough data
8.7
78
Not enough data
8.7
75
Not enough data
8.8
81
Not enough data
Automation
8.9
79
Not enough data
8.4
72
Not enough data
9.0
79
Not enough data
8.7
73
Not enough data
IT Management
8.7
74
Not enough data
8.9
74
Not enough data
8.6
71
Not enough data
Functionality
8.8
218
Not enough data
9.0
222
Not enough data
8.7
204
Not enough data
Management
8.8
206
Not enough data
8.3
194
Not enough data
8.9
215
Not enough data
Agentic AI - Continuous Delivery
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
Not enough data
Bug Reporting
8.6
139
Not enough data
8.5
133
Not enough data
8.6
141
Not enough data
Bug Monitoring
8.5
138
Not enough data
8.8
146
Not enough data
8.8
135
Not enough data
Agentic AI - Bug Tracking
8.3
9
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
Functionality - Software Composition Analysis
8.7
66
Not enough data
8.8
72
Not enough data
8.7
67
Not enough data
Effectiveness - Software Composition Analysis
8.8
64
Not enough data
9.0
64
Not enough data
9.0
62
Not enough data
Management
8.8
150
Not enough data
8.8
152
Not enough data
8.5
139
Not enough data
Functionality
8.8
157
Not enough data
8.8
155
Not enough data
8.6
141
Not enough data
Processes
9.0
160
Not enough data
8.5
144
Not enough data
9.0
161
Not enough data
Functionality
8.9
228
|
Verified
Not enough data
8.6
210
|
Verified
Not enough data
8.4
204
|
Verified
Not enough data
Management
8.9
217
|
Verified
Not enough data
8.7
215
|
Verified
Not enough data
8.4
199
|
Verified
Not enough data
Agentic AI - Continuous Integration
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
Not enough data
Documentation
8.8
117
Not enough data
8.6
112
Not enough data
8.4
112
Not enough data
Security
8.0
101
Not enough data
8.4
101
Not enough data
9.0
110
Not enough data
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
8.9
40
Not enough data
8.7
41
Not enough data
8.6
36
Not enough data
8.9
38
Not enough data
Value Management
9.0
39
Not enough data
8.7
42
Not enough data
8.9
40
Not enough data
Categories
Categories
Shared Categories
GitLab and Phabricator are categorized as Version Control Hosting, Peer Code Review, Bug Tracking, and Continuous Integration
Unique Categories
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, Continuous Delivery, and AI Code Generation
Phabricator has no unique categories
Reviews
Reviewers' Company Size
GitLab
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Phabricator
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
Computer Software
33.3%
Information Technology and Services
24.4%
Internet
3.9%
Financial Services
3.5%
Telecommunications
2.4%
Other
32.5%
Information Technology and Services
22.2%
Computer Software
22.2%
Internet
18.5%
Retail
11.1%
Hospital & Health Care
7.4%
Other
18.5%
Alternatives
Discussions
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
Phabricator has no discussions with answers
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