Compare GitLab and JFrog 
At a Glance
Market Segments
Small-Business (37.1% of reviews)
Enterprise (46.8% of reviews)
Entry-Level Pricing
No pricing available
Starting at $150.00 Per Month
GitLab
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 GitLabJFrog
Star Rating
(116)4.2 out of 5
Market Segments
Enterprise (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $150.00 Per Month
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that GitLab excels in providing an all-in-one solution for development needs, integrating features like source control, CI pipelines, and deployment automation into a single platform. Users appreciate how this reduces the mental overhead of switching between tools, making daily development smoother.
- Users say that JFrog is particularly effective for larger teams and high build volumes, highlighting its scalability. This makes it a suitable choice for organizations managing multiple projects, although it may not offer the same level of integration as GitLab.
- Reviewers mention that GitLab's user interface is intuitive, making tasks such as managing pipelines and reviewing merge requests straightforward. This ease of use is a significant advantage for teams looking to streamline their workflows.
- According to verified reviews, JFrog is praised for its ease of implementation, especially in the context of machine learning model deployment. Users find it simple to set up and use, which can be a strong selling point for teams focused on ML projects.
- G2 reviewers highlight that GitLab's robust support and documentation contribute to a positive user experience, with many users noting the quality of assistance they receive when facing challenges. This contrasts with JFrog, which, while still providing good support, does not receive the same level of acclaim.
- Users report that GitLab's recent updates and consistent product direction have kept it relevant and effective for modern development practices, whereas JFrog, despite its strengths, has not garnered as much recent user feedback, indicating potential areas for improvement.
Pricing
Entry-Level Pricing
GitLab
No pricing availableJFrog
PRO
Starting at $150.00
Per Month
Automated Artifact and Container Registry for Individuals & Small teams
- Universal Binary Repository
- Release Lifecycle Management
- Unlimited Docker Hub Pulls
Free Trial
GitLab
Free Trial is available
JFrog
Free Trial is available
Ratings
Meets Requirements
9.1
663
8.6
79
Ease of Use
8.7
666
8.2
80
Ease of Setup
8.6
226
8.2
47
Ease of Admin
8.6
172
8.4
39
Quality of Support
8.5
527
8.4
68
Has the product been a good partner in doing business?
8.8
147
8.5
38
Product Direction (% positive)
8.7
630
8.4
73
Features by Category
Administration
8.7
124
7.1
8
8.9
131
6.9
8
8.6
123
7.7
8
Functionality
9.0
130
7.5
8
8.5
115
7.5
8
8.5
109
8.1
9
8.7
114
8.5
9
8.6
103
Feature Not Available
Processes
9.1
133
8.5
9
9.0
122
7.4
9
8.7
122
7.3
8
Administration
9.2
30
Not enough data
9.0
28
Not enough data
Analysis
8.7
26
Not enough data
9.0
28
Not enough data
9.1
27
Not enough data
8.8
26
Not enough data
Testing
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
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
8.7
5
8.7
78
8.7
5
8.7
75
9.0
5
8.8
81
9.3
5
Automation
8.9
79
Not enough data
8.4
72
Feature Not Available
9.0
79
8.7
5
8.7
73
Feature Not Available
IT Management
8.7
74
Not enough data
8.9
74
7.7
5
8.6
71
Not enough data
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
8.8
215
7.9
8
9.0
218
7.9
8
8.7
204
8.7
9
Management
8.8
203
8.3
9
8.4
193
7.5
8
8.9
211
8.1
9
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
Functionality
Not enough data
7.1
8
Not enough data
6.5
8
Not enough data
6.0
7
Not enough data
5.8
6
Management
Not enough data
8.1
9
Not enough data
6.9
7
Not enough data
4.0
5
Not enough data
6.2
7
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
71
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
Device Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Provisioning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.8
145
6.7
11
8.7
148
7.4
9
8.5
136
7.2
9
Functionality
8.8
153
6.3
10
8.8
151
6.8
10
8.6
141
5.7
9
Processes
9.0
157
8.3
9
8.5
141
6.9
9
9.0
158
8.3
11
Functionality
8.9
226
|
Verified
8.0
9
8.6
210
|
Verified
8.0
9
8.4
204
|
Verified
7.7
8
Management
8.9
215
|
Verified
7.6
9
8.7
215
|
Verified
7.8
9
8.4
198
|
Verified
6.7
8
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Tracking
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - Software Bill of Materials (SBOM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - Software Bill of Materials (SBOM)
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 JFrog are categorized as DevOps Platforms, Software Composition Analysis, Cloud Infrastructure Automation, Static Application Security Testing (SAST), Application Release Orchestration, Version Control Hosting, Continuous Delivery, and Continuous Integration
Unique Categories
GitLab is categorized as Secure Code Review, Value Stream Management, Dynamic Application Security Testing (DAST), Peer Code Review, Bug Tracking, and AI Code Generation
Reviews
Reviewers' Company Size
GitLab
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
JFrog
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
24.2%
Internet
4.0%
Financial Services
3.4%
Telecommunications
2.3%
Other
32.7%
Information Technology and Services
31.4%
Computer Software
13.7%
Financial Services
7.8%
Computer & Network Security
5.9%
Hospital & Health Care
2.9%
Other
38.2%
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
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
JFrog has no discussions with answers
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