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Compare AWS X-Ray and GitLab 
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At a Glance
Market Segments
Small-Business (53.8% of reviews)
Small-Business (37.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS X-Ray
Star Rating
(16)4.1 out of 5
Market Segments
Small-Business (53.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS X-RayGitLab
Star Rating
(863)4.5 out of 5
Market Segments
Small-Business (37.2% 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.
- Users report that GitLab excels in its API / Integrations with a score of 9.2, allowing seamless connectivity with various tools, while AWS X-Ray, with a score of 8.8, offers solid integration capabilities but lacks the extensive options that GitLab provides.
- Reviewers mention that GitLab's Deployment Automation feature shines with a score of 9.0, enabling efficient CI/CD processes, whereas AWS X-Ray, while effective in monitoring, does not focus on deployment automation, which may limit its utility for users looking for comprehensive deployment solutions.
- G2 users highlight GitLab's strong Test Automation capabilities, scoring 9.0, which allows for robust testing workflows, while AWS X-Ray, with a score of 8.6 in similar areas, is more focused on tracing and debugging rather than comprehensive test automation.
- Users on G2 report that GitLab's Configuration Management feature is rated at 8.8, providing users with effective tools for managing configurations, while AWS X-Ray does not emphasize this area, which may be a drawback for teams needing detailed configuration management.
- Reviewers say that GitLab's Quality of Support is rated at 8.5, with many users praising the responsiveness and helpfulness of the support team, whereas AWS X-Ray scores higher at 9.2, indicating a more favorable support experience for users needing assistance.
- Users report that GitLab's Dashboards and Visualizations score of 8.7 offers a user-friendly interface for tracking project metrics, while AWS X-Ray, although effective in visualizing application performance, does not provide the same level of customizable dashboards, which may limit user experience.
Pricing
Entry-Level Pricing
AWS X-Ray
No pricing availableGitLab
No pricing availableFree Trial
AWS X-Ray
No trial information availableGitLab
Free Trial is available
Ratings
Meets Requirements
8.3
11
9.1
651
Ease of Use
9.0
10
8.7
653
Ease of Setup
Not enough data
8.6
214
Ease of Admin
Not enough data
8.6
171
Quality of Support
9.2
8
8.5
515
Has the product been a good partner in doing business?
Not enough data
8.8
146
Product Direction (% positive)
8.8
10
8.7
618
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
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
Functionality
Not enough data
8.8
210
Not enough data
9.0
212
Not enough data
8.7
204
Management
Not enough data
8.7
197
Not enough data
8.3
190
Not enough data
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
141
Not enough data
8.8
146
Not enough data
8.5
134
Functionality
Not enough data
8.8
146
Not enough data
8.8
146
Not enough data
8.7
138
Processes
Not enough data
9.0
150
Not enough data
8.5
139
Not enough data
9.0
153
Functionality
Not enough data
8.9
224
|
Verified
Not enough data
8.6
209
|
Verified
Not enough data
8.4
203
|
Verified
Management
Not enough data
8.8
211
|
Verified
Not enough data
8.7
214
|
Verified
Not enough data
8.4
196
|
Verified
Agentic AI - Continuous Integration
Not enough data
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
Documentation
Not enough data
8.7
115
Not enough data
8.6
111
Not enough data
8.4
111
Security
Not enough data
8.0
100
Not enough data
8.4
99
Not enough data
9.0
108
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 X-Ray and GitLab are categorized as Bug Tracking
Unique Categories
AWS X-Ray is categorized as Test Management
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, Continuous Delivery, Continuous Integration, and AI Code Generation
Reviews
Reviewers' Company Size
AWS X-Ray
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
Hospital & Health Care
15.4%
Computer Software
15.4%
Real Estate
7.7%
Photography
7.7%
Online Media
7.7%
Other
46.2%
Computer Software
33.5%
Information Technology and Services
24.1%
Internet
3.9%
Financial Services
3.4%
Telecommunications
2.3%
Other
32.9%
Alternatives
Discussions
AWS X-Ray 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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