Compare GitLab and IBM DevOps Deploy 
At a Glance
Market Segments
Small-Business (37.0% of reviews)
Enterprise (100.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
GitLab
Star Rating
(887)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 GitLabIBM DevOps Deploy
Star Rating
(17)4.4 out of 5
Market Segments
Enterprise (100.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM DevOps DeploySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that GitLab excels in providing an integrated experience, combining source control, CI/CD, and deployment automation in one platform. Users appreciate that it eliminates the need for multiple tools, making daily development smoother and reducing the mental overhead of switching between applications.
- Users say that IBM DevOps Deploy offers a user-friendly experience with powerful features, particularly highlighting its ease of use. Reviewers have noted that it simplifies deployment processes that previously required extensive documentation, making it a solid choice for teams looking for straightforward deployment automation.
- According to verified reviews, GitLab's user interface is praised for its clarity and accessibility, making tasks like managing pipelines and reviewing merge requests straightforward. This focus on usability contributes to its higher overall satisfaction ratings compared to IBM DevOps Deploy.
- Reviewers mention that while IBM DevOps Deploy has good capabilities, it may not be as versatile as GitLab, which covers a broader range of functionalities, including sprint planning and issue tracking. This versatility is particularly beneficial for teams looking for an all-in-one solution.
- G2 reviewers highlight that GitLab's recent updates and features are well-received, with users noting the effectiveness of its built-in CI/CD capabilities that work out of the box. This responsiveness to user needs contributes to its strong market presence and satisfaction scores.
- Users indicate that while IBM DevOps Deploy has a solid support structure, GitLab's support quality is rated higher, with users appreciating the responsiveness and helpfulness of the GitLab support team. This can be a crucial factor for teams that require reliable assistance during implementation and ongoing use.
Pricing
Entry-Level Pricing
GitLab
No pricing availableIBM DevOps Deploy
No pricing availableFree Trial
GitLab
Free Trial is available
IBM DevOps Deploy
No trial information availableRatings
Meets Requirements
9.1
675
8.8
11
Ease of Use
8.7
678
8.9
11
Ease of Setup
8.6
237
7.8
6
Ease of Admin
8.6
173
7.8
6
Quality of Support
8.5
537
7.9
11
Has the product been a good partner in doing business?
8.8
148
8.1
6
Product Direction (% positive)
8.8
640
7.9
11
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
217
Not enough data
9.0
221
Not enough data
8.7
204
Not enough data
Management
8.8
205
Not enough data
8.3
194
Not enough data
8.9
214
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
149
Not enough data
8.8
151
Not enough data
8.5
138
Not enough data
Functionality
8.8
156
Not enough data
8.8
154
Not enough data
8.6
141
Not enough data
Processes
9.0
159
Not enough data
8.5
143
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 IBM DevOps Deploy are categorized as Continuous Delivery
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, Version Control Hosting, Peer Code Review, Bug Tracking, Continuous Integration, and AI Code Generation
IBM DevOps Deploy has no unique categories
Reviews
Reviewers' Company Size
GitLab
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM DevOps Deploy
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
24.3%
Internet
3.9%
Financial Services
3.5%
Telecommunications
2.4%
Other
32.5%
Insurance
26.7%
Information Technology and Services
20.0%
Financial Services
20.0%
Banking
13.3%
Retail
6.7%
Other
13.3%
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
IBM DevOps Deploy has no discussions with answers
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