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Compare AWS CodePipeline and GitLab 
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At a Glance
Market Segments
Small-Business (40.0% of reviews)
Small-Business (37.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS CodePipeline
Star Rating
(67)4.3 out of 5
Market Segments
Small-Business (40.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS CodePipelineGitLab
Star Rating
(860)4.5 out of 5
Market Segments
Small-Business (37.3% 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 AWS CodePipeline excels in Deployment Automation with a score of 9.0, allowing for seamless integration and continuous delivery, while GitLab, although strong, scores slightly lower at 8.9 in the same category.
- Reviewers mention that AWS CodePipeline's API / Integrations feature is highly rated at 9.2, making it easier to connect with other AWS services, whereas GitLab's API / Integrations score is 8.8, indicating a solid but less extensive integration capability.
- G2 users highlight that GitLab shines in Test Automation, scoring 9.1, which is particularly beneficial for teams focused on CI/CD practices, while AWS CodePipeline also performs well with a score of 9.0, but lacks some of the advanced features GitLab offers.
- Users on G2 report that GitLab's Reporting and Analytics capabilities are superior, with a score of 8.3, providing more detailed insights into project performance compared to AWS CodePipeline's score of 7.3, which some users find limiting.
- Reviewers mention that AWS CodePipeline's Configuration Management is rated at 8.7, which is appreciated for its straightforward setup, while GitLab's score of 8.8 indicates a slightly better user experience in managing configurations.
- Users say that GitLab's Manual Testing feature is rated at 8.6, which is beneficial for teams that require thorough testing processes, while AWS CodePipeline's manual testing capabilities are less emphasized, leading to a score of 8.7.
Pricing
Entry-Level Pricing
AWS CodePipeline
No pricing availableGitLab
No pricing availableFree Trial
AWS CodePipeline
No trial information availableGitLab
Free Trial is available
Ratings
Meets Requirements
8.2
55
9.1
650
Ease of Use
7.9
54
8.7
652
Ease of Setup
7.8
29
8.6
213
Ease of Admin
8.3
25
8.6
170
Quality of Support
8.8
50
8.5
514
Has the product been a good partner in doing business?
8.5
24
8.8
145
Product Direction (% positive)
8.7
53
8.7
617
Features by Category
Administration
Not enough data
8.7
122
Not enough data
8.9
130
Not enough data
8.6
122
Functionality
Not enough data
9.0
128
Not enough data
8.5
114
Not enough data
8.5
109
Not enough data
8.7
114
Not enough data
8.6
103
Processes
Not enough data
9.1
131
Not enough data
9.0
120
Not enough data
8.7
120
Administration
Not enough data
9.1
27
Not enough data
9.0
26
Analysis
Not enough data
8.6
25
Not enough data
8.9
26
Not enough data
9.1
26
Not enough data
8.8
24
Testing
Not enough data
8.8
26
Not enough data
8.7
25
Not enough data
9.1
25
Not enough data
8.8
25
Not enough data
8.8
23
Not enough data
8.4
23
Not enough data
8.7
23
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
8.7
76
Not enough data
8.7
77
Not enough data
8.7
74
Not enough data
8.8
79
Automation
Not enough data
8.9
78
Not enough data
8.4
71
Not enough data
9.0
78
Not enough data
8.6
72
IT Management
Not enough data
8.7
73
Not enough data
8.8
73
Not enough data
8.6
70
Functionality
9.2
16
8.8
210
8.4
16
9.0
212
7.9
15
8.7
204
Management
8.4
17
8.7
197
7.2
16
8.3
190
8.4
15
8.9
204
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
138
Not enough data
8.5
132
Not enough data
8.6
139
Bug Monitoring
Not enough data
8.4
135
Not enough data
8.8
144
Not enough data
8.8
134
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
64
Not enough data
8.8
69
Not enough data
8.7
66
Effectiveness - Software Composition Analysis
Not enough data
8.8
63
Not enough data
8.9
63
Not enough data
8.9
60
Management
Not enough data
8.7
140
Not enough data
8.8
145
Not enough data
8.5
133
Functionality
Not enough data
8.8
145
Not enough data
8.8
145
Not enough data
8.7
137
Processes
Not enough data
9.0
149
Not enough data
8.5
138
Not enough data
9.0
152
Functionality
8.8
17
|
Verified
8.9
223
|
Verified
8.2
18
|
Verified
8.6
208
|
Verified
7.8
16
|
Verified
8.4
202
|
Verified
Management
8.7
17
|
Verified
8.8
210
|
Verified
8.4
17
|
Verified
8.7
213
|
Verified
7.3
16
|
Verified
8.4
195
|
Verified
Agentic AI - Continuous Integration
Not enough data
7.0
10
Not enough data
7.4
12
Not enough data
7.6
11
Not enough data
7.3
10
Not enough data
7.7
10
Documentation
Not enough data
8.8
114
Not enough data
8.6
110
Not enough data
8.3
110
Security
Not enough data
8.0
99
Not enough data
8.4
98
Not enough data
8.9
107
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
38
Not enough data
8.7
40
Not enough data
8.6
36
Not enough data
8.8
36
Value Management
Not enough data
8.9
38
Not enough data
8.7
40
Not enough data
8.8
39
Categories
Categories
Shared Categories
AWS CodePipeline and GitLab are categorized as Continuous Integration and Continuous Delivery
Unique Categories
AWS CodePipeline is categorized as Configuration Management 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
AWS CodePipeline
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
26.7%
Information Technology and Services
18.3%
Financial Services
10.0%
Telecommunications
5.0%
Insurance
3.3%
Other
36.7%
Computer Software
33.5%
Information Technology and Services
24.1%
Internet
3.9%
Financial Services
3.4%
Telecommunications
2.3%
Other
32.8%
Alternatives
Discussions
AWS CodePipeline has no 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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