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Compare GitLab and Plastic SCM 
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At a Glance
Market Segments
Small-Business (37.4% of reviews)
Small-Business (64.7% of reviews)
Entry-Level Pricing
No pricing available
$9.95 user/month
GitLab
Star Rating
(864)4.5 out of 5
Market Segments
Small-Business (37.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about GitLabPlastic SCM
Star Rating
(36)4.2 out of 5
Market Segments
Small-Business (64.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
$9.95 user/month
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Plastic SCM excels in Configuration Management with a score of 8.7, highlighting its robust capabilities in managing complex configurations effectively, while GitLab, although strong, has a slightly lower score of 8.7 in this area.
- Reviewers mention that GitLab shines in Ease of Use with a score of 8.7, making it more user-friendly for teams new to version control, whereas Plastic SCM has a score of 7.9, indicating a steeper learning curve for some users.
- G2 users note that both products have strong Quality of Support, each scoring 8.5, but users on G2 have mentioned that GitLab's community support and extensive documentation provide a slight edge in resolving issues quickly.
- Users say that GitLab's Integration capabilities are impressive, scoring 8.9, with many reviewers praising its seamless connections to CI/CD tools, while Plastic SCM's integration score is also high at 8.9, but users report fewer available integrations compared to GitLab.
- Reviewers mention that Plastic SCM's Deployment-Ready Staging feature, scoring 8.8, is particularly beneficial for teams needing to test in a production-like environment, while GitLab's score of 8.8 in this area is also commendable but lacks some of the advanced staging options found in Plastic SCM.
- Users report that GitLab's Automation features, with a score of 8.9, are highly regarded for streamlining workflows, while Plastic SCM's automation capabilities, scoring 8.8, are effective but not as comprehensive, leading to a preference for GitLab among users focused on automation.
Pricing
Entry-Level Pricing
GitLab
No pricing availablePlastic SCM
Team
$9.95
user/month
- Response < 24h
- Unity3D plugin
- Team Engine (Up to 15 users)
Free Trial
GitLab
Free Trial is available
Plastic SCM
Free Trial is available
Ratings
Meets Requirements
9.1
654
7.6
26
Ease of Use
8.7
656
7.9
26
Ease of Setup
8.6
217
8.0
16
Ease of Admin
8.6
172
7.7
16
Quality of Support
8.5
518
8.5
23
Has the product been a good partner in doing business?
8.8
147
8.5
16
Product Direction (% positive)
8.7
621
8.1
25
Features by Category
Administration
8.7
123
Not enough data
8.9
131
Not enough data
8.6
123
Not enough data
Functionality
9.0
129
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
132
Not enough data
9.0
121
Not enough data
8.7
121
Not enough data
Administration
9.2
28
Not enough data
9.0
27
Not enough data
Analysis
8.7
26
Not enough data
9.0
27
Not enough data
9.1
27
Not enough data
8.9
25
Not enough data
Testing
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
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
80
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
213
Not enough data
9.0
215
Not enough data
8.7
205
Not enough data
Management
8.8
199
Not enough data
8.4
191
Not enough data
8.9
207
Not enough data
Agentic AI - Continuous Delivery
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
Not enough data
Bug Reporting
8.6
139
Not enough data
8.5
133
Not enough data
8.6
140
Not enough data
Bug Monitoring
8.4
136
Not enough data
8.8
145
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
65
Not enough data
8.8
70
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
61
Not enough data
Management
8.8
142
Not enough data
8.8
147
Not enough data
8.5
135
Not enough data
Functionality
8.8
148
Not enough data
8.8
148
Not enough data
8.7
139
Not enough data
Processes
9.0
152
Not enough data
8.5
140
Not enough data
9.0
155
Not enough data
Functionality
8.9
226
|
Verified
Not enough data
8.6
210
|
Verified
Not enough data
8.4
204
|
Verified
Not enough data
Management
8.9
214
|
Verified
Not enough data
8.7
215
|
Verified
Not enough data
8.4
197
|
Verified
Not enough data
Agentic AI - Continuous Integration
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
Not enough data
Documentation
8.8
116
Not enough data
8.6
112
Not enough data
8.4
112
Not enough data
Security
8.0
101
Not enough data
8.4
100
Not enough data
9.0
109
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
39
Not enough data
8.7
40
Not enough data
8.6
36
Not enough data
8.9
37
Not enough data
Value Management
9.0
39
Not enough data
8.7
41
Not enough data
8.9
40
Not enough data
Categories
Categories
Shared Categories
GitLab and Plastic SCM are categorized as Version Control Hosting
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, Peer Code Review, Continuous Delivery, Bug Tracking, Continuous Integration, and AI Code Generation
Plastic SCM is categorized as Version Control Software
Reviews
Reviewers' Company Size
GitLab
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Plastic SCM
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
33.6%
Information Technology and Services
24.1%
Internet
3.9%
Financial Services
3.4%
Telecommunications
2.2%
Other
32.7%
Computer Games
20.6%
Information Technology and Services
11.8%
Computer Software
8.8%
Automotive
8.8%
Gambling & Casinos
5.9%
Other
44.1%
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
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
What's a task branch exactly?
1 Comment
Official Response from Plastic SCM
You've probably heard of concepts like bug branches, topic branches, and so on, right? Ok, even if you haven't, here's the answer: it's a branch you use to...Read more
But aren't branches supposed to be evil incarnate?
1 Comment
Official Response from Plastic SCM
Who told you that? I bet you found that on some Subversion guide, forum, or manual, maybe even on some other SCM website, didn't you? Branches are...Read more
What's Plastic SCM?
1 Comment
Official Response from Plastic SCM
Plastic is a version control system: it versions files and directories and keeps track of branching and merging as you've never seen before. And even better?...Read more
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