Compare AWS CodePipeline and GitLab 
At a Glance
Market Segments
Small-Business (39.3% of reviews)
Small-Business (37.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS CodePipeline
Star Rating
(68)4.3 out of 5
Market Segments
Small-Business (39.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about AWS CodePipelineGitLab
Star Rating
(875)4.5 out of 5
Market Segments
Small-Business (37.1% 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 user experience, with its intuitive interface making tasks like managing pipelines and reviewing code straightforward. Users appreciate the seamless integration of multiple tools, which reduces the need to switch platforms.
- According to verified reviews, AWS CodePipeline shines in its integration capabilities, particularly for users already embedded in the AWS ecosystem. Reviewers highlight the ease of integrating services like CloudFormation and AWS Lambda, making it a strong choice for those leveraging AWS services.
- Users say that GitLab's built-in CI/CD functionality works out of the box, allowing for quick setup with minimal configuration. This feature is particularly praised for streamlining the development process, as users can manage everything from code to deployment in one place.
- Reviewers mention that while AWS CodePipeline offers a comprehensive suite of developer tools, some users find it challenging to configure for specific workflows. This can lead to a steeper learning curve compared to GitLab, which is often noted for its user-friendly setup.
- G2 reviewers highlight that GitLab's strong focus on collaboration tools, such as issue tracking and sprint planning, enhances team productivity. Users appreciate the ability to manage all aspects of development within a single platform, which simplifies project management.
- According to recent user feedback, AWS CodePipeline is recognized for its robust logging and monitoring capabilities, which are essential for tracking deployment processes. However, GitLab's reporting features are noted to be more comprehensive, providing better insights into project performance.
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
56
9.1
663
Ease of Use
7.9
55
8.7
666
Ease of Setup
7.8
30
8.6
226
Ease of Admin
8.3
26
8.6
172
Quality of Support
8.8
51
8.5
527
Has the product been a good partner in doing business?
8.5
25
8.8
147
Product Direction (% positive)
8.7
54
8.7
630
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
30
Not enough data
9.0
28
Analysis
Not enough data
8.7
26
Not enough data
9.0
28
Not enough data
9.1
27
Not enough data
8.8
26
Testing
Not enough data
8.8
28
Not enough data
8.7
26
Not enough data
9.1
27
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
81
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
9.2
16
8.8
215
8.4
16
9.0
218
7.9
15
8.7
204
Management
8.4
17
8.8
203
7.2
16
8.4
193
8.4
16
8.9
211
Agentic AI - Continuous Delivery
Not enough data
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
Bug Reporting
Not enough data
8.6
139
Not enough data
8.5
133
Not enough data
8.6
140
Bug Monitoring
Not enough data
8.4
136
Not enough data
8.8
145
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
145
Not enough data
8.7
148
Not enough data
8.5
136
Functionality
Not enough data
8.8
153
Not enough data
8.8
151
Not enough data
8.6
141
Processes
Not enough data
9.0
157
Not enough data
8.5
141
Not enough data
9.0
158
Functionality
8.8
17
|
Verified
8.9
226
|
Verified
8.2
18
|
Verified
8.6
210
|
Verified
7.8
16
|
Verified
8.4
204
|
Verified
Management
8.7
17
|
Verified
8.9
215
|
Verified
8.4
17
|
Verified
8.7
215
|
Verified
7.3
16
|
Verified
8.4
198
|
Verified
Agentic AI - Continuous Integration
Not enough data
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
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
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
26.2%
Information Technology and Services
18.0%
Financial Services
9.8%
Telecommunications
4.9%
Banking
3.3%
Other
37.7%
Computer Software
33.3%
Information Technology and Services
24.2%
Internet
4.0%
Financial Services
3.4%
Telecommunications
2.3%
Other
32.7%
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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