Introducing G2.ai, the future of software buying.Try now
Compare Digital.ai TeamForge and GitLab 
Featured Products
At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Small-Business (37.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Digital.ai TeamForge
Star Rating
(21)4.2 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Digital.ai TeamForgeGitLab
Star Rating
(871)4.5 out of 5
Market Segments
Small-Business (37.3% 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 providing a seamless user experience, with its interface being described as "excellent" and making tasks like code searching and merge request management straightforward. In contrast, while Digital.ai TeamForge has a user-friendly interface, it doesn't quite match the level of accessibility that GitLab offers.
- Users say that GitLab's all-in-one platform significantly reduces the need for multiple tools, integrating features like git repositories, CI/CD, and issue tracking into a single solution. This comprehensive approach is a standout feature, whereas Digital.ai TeamForge, while effective in document management and defect tracking, may require users to juggle different tools for a complete workflow.
- Reviewers mention that GitLab's built-in CI/CD capabilities work out of the box, making it easy to set up with just a simple configuration file. Digital.ai TeamForge, while praised for its dashboard view and ease of application deployment, does not have the same level of out-of-the-box functionality, which can lead to a steeper learning curve for new users.
- According to verified reviews, GitLab's support quality is rated higher, with users appreciating the responsiveness and helpfulness of the support team. Digital.ai TeamForge, while it has received positive feedback for user management, has a slightly lower support rating, indicating room for improvement in this area.
- Users highlight that GitLab's consistency across its platform reduces the mental overhead associated with switching between tools, making daily development smoother. In comparison, Digital.ai TeamForge, despite its strengths in user interface and management features, may not provide the same level of integration, which can affect overall workflow efficiency.
- G2 reviewers note that GitLab has a significantly larger user base and more recent reviews, indicating a robust and active community. Digital.ai TeamForge, while it has its strengths, has fewer reviews and a lower G2 Score, suggesting that it may not be as widely adopted or as current in user satisfaction compared to GitLab.
Pricing
Entry-Level Pricing
Digital.ai TeamForge
No pricing availableGitLab
No pricing availableFree Trial
Digital.ai TeamForge
No trial information availableGitLab
Free Trial is available
Ratings
Meets Requirements
8.3
15
9.1
659
Ease of Use
8.0
16
8.7
662
Ease of Setup
Not enough data
8.6
223
Ease of Admin
Not enough data
8.6
172
Quality of Support
7.9
17
8.5
523
Has the product been a good partner in doing business?
Not enough data
8.8
147
Product Direction (% positive)
8.5
16
8.7
626
Features by Category
Administration
Not enough data
8.7
124
Not enough data
8.9
131
Not enough data
8.6
123
Functionality
Not enough data
9.0
130
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
133
Not enough data
9.0
122
Not enough data
8.7
122
Administration
Not enough data
9.2
28
Not enough data
9.0
27
Analysis
Not enough data
8.7
26
Not enough data
9.0
27
Not enough data
9.1
27
Not enough data
8.9
25
Testing
Not enough data
8.8
27
Not enough data
8.7
26
Not enough data
9.1
26
Not enough data
8.8
26
Not enough data
8.8
24
Not enough data
8.5
24
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
80
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
Not enough data
8.8
215
Not enough data
9.0
217
Not enough data
8.7
205
Management
Not enough data
8.8
201
Not enough data
8.4
192
Not enough data
8.9
208
Agentic AI - Continuous Delivery
Not enough data
8.0
9
Not enough data
8.2
10
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
140
Not enough data
8.5
134
Not enough data
8.6
141
Bug Monitoring
Not enough data
8.4
136
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
65
Not enough data
8.8
71
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
61
Management
Not enough data
8.8
144
Not enough data
8.7
148
Not enough data
8.5
136
Functionality
Not enough data
8.8
151
Not enough data
8.8
149
Not enough data
8.6
141
Processes
Not enough data
8.9
155
Not enough data
8.5
141
Not enough data
8.9
156
Functionality
Not enough data
8.9
226
|
Verified
Not enough data
8.6
210
|
Verified
Not enough data
8.4
204
|
Verified
Management
Not enough data
8.9
214
|
Verified
Not enough data
8.7
215
|
Verified
Not enough data
8.4
198
|
Verified
Agentic AI - Continuous Integration
Not enough data
7.3
11
Not enough data
7.6
13
Not enough data
7.4
12
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
39
Not enough data
8.7
40
Not enough data
8.6
36
Not enough data
8.9
37
Value Management
Not enough data
9.0
39
Not enough data
8.7
41
Not enough data
8.9
40
Categories
Categories
Shared Categories
Digital.ai TeamForge and GitLab are categorized as Continuous Delivery and Continuous Integration
Unique Categories
Digital.ai TeamForge is categorized as Version Control Clients and Build Automation
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, Version Control Hosting, Peer Code Review, Bug Tracking, and AI Code Generation
Reviews
Reviewers' Company Size
Digital.ai TeamForge
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
Computer Software
25.0%
Information Technology and Services
15.0%
Education Management
10.0%
Research
5.0%
Logistics and Supply Chain
5.0%
Other
40.0%
Computer Software
33.5%
Information Technology and Services
24.2%
Internet
4.0%
Financial Services
3.4%
Telecommunications
2.2%
Other
32.7%
Alternatives
Discussions
How many servers do I need to run a CollabNet TeamForge site?
1 Comment
Official Response from Digital.ai TeamForge
You can run TeamForge on one server or split up its services among multiple servers.Read more
Should I move my TeamForge database to its own server?
1 Comment
Official Response from Digital.ai TeamForge
If you expect your site to have heavy user traffic, you may want to run the site's database on its own server.Read more
How does TeamForge handle third-party applications?
1 Comment
Official Response from Digital.ai TeamForge
TeamForge relies on many third-party applications to augment or enhance functionality.Read more
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
