Introducing G2.ai, the future of software buying.Try now
Compare AWS CodeStar and GitHub 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Postman
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
CAST Highlight
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Codemagic
Visit Website
At a Glance
Market Segments
Small-Business (56.3% of reviews)
Small-Business (45.9% of reviews)
Entry-Level Pricing
No pricing available
$0.00 1 users
AWS CodeStar
Star Rating
(17)4.4 out of 5
Market Segments
Small-Business (56.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS CodeStarGitHub
Star Rating
(2,264)4.7 out of 5
Market Segments
Small-Business (45.9% of reviews)
Entry-Level Pricing
$0.00 1 users
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that GitHub excels in its Integration capabilities, scoring 9.1, which allows seamless connections with various third-party tools. In contrast, AWS CodeStar, while also strong with a score of 9.2, is noted for its Extensibility features, enabling users to customize their development environments more effectively.
- Reviewers mention that GitHub's Ease of Setup is rated at 9.0, making it user-friendly for new developers. AWS CodeStar, however, has a slightly lower score in this area, which some users feel can lead to a steeper learning curve when first starting out.
- G2 users highlight GitHub's Quality of Support with a score of 8.7, indicating that users find the support team responsive and helpful. Conversely, AWS CodeStar's support is rated lower at 8.0, with some reviewers expressing concerns about the availability of timely assistance.
- Users on G2 report that GitHub's Task Management features score 8.9, providing robust tools for tracking and managing development tasks. AWS CodeStar, while offering similar functionalities, received a lower score, suggesting that users find GitHub's task management more intuitive and effective.
- Reviewers mention that GitHub's Deployment Automation is rated at 8.9, which users appreciate for its efficiency in streamlining the deployment process. AWS CodeStar, while also offering automation features, scored slightly lower, indicating that some users find GitHub's approach more straightforward.
- Users say that GitHub's Documentation is highly regarded, with a score of 8.7, making it easier for developers to find the information they need. In contrast, AWS CodeStar's documentation received a lower score, with some users noting that it could be more comprehensive and user-friendly.
Pricing
Entry-Level Pricing
AWS CodeStar
No pricing availableGitHub
Free for Individuals and Organizations
$0.00
1 users
Basics for teams and developers
- Unlimited public/private repositories
- Unlimited collaborators
- 2,000 Actions minutes/month (Free for public repositories)
Free Trial
AWS CodeStar
No trial information availableGitHub
Free Trial is available
Ratings
Meets Requirements
8.5
11
9.3
1,962
Ease of Use
8.5
11
8.7
1,978
Ease of Setup
Not enough data
9.0
589
Ease of Admin
Not enough data
8.7
450
Quality of Support
8.0
10
8.8
1,569
Has the product been a good partner in doing business?
Not enough data
8.9
386
Product Direction (% positive)
8.9
11
8.9
1,914
Features by Category
Administration
Not enough data
8.9
142
Not enough data
9.1
147
Not enough data
8.7
144
Functionality
Not enough data
8.9
145
Not enough data
8.6
134
Not enough data
8.9
136
Not enough data
9.0
147
Not enough data
8.3
133
Processes
Not enough data
9.1
146
Not enough data
8.8
144
Not enough data
8.7
142
Administration
Not enough data
9.2
48
Not enough data
9.0
47
Analysis
Not enough data
8.7
47
Not enough data
8.9
50
Not enough data
8.9
48
Not enough data
9.0
50
Testing
Not enough data
9.3
49
Not enough data
8.6
44
Not enough data
8.7
45
Not enough data
8.9
43
Not enough data
8.7
42
Not enough data
9.0
43
Not enough data
8.5
42
Agentic AI - Static Application Security Testing (SAST)
Not enough data
10.0
14
Administration
Not enough data
9.1
98
Not enough data
9.0
97
Not enough data
8.8
99
Not enough data
9.2
99
Automation
Not enough data
8.9
97
Not enough data
8.7
91
Not enough data
8.8
96
Not enough data
8.9
91
IT Management
Not enough data
9.0
99
Not enough data
9.0
91
Not enough data
8.9
89
Functionality
Not enough data
9.1
238
Not enough data
9.2
241
Not enough data
8.9
238
Management
Not enough data
9.0
236
Not enough data
8.5
231
Not enough data
9.0
239
Agentic AI - Continuous Delivery
Not enough data
9.4
29
Not enough data
9.2
29
Not enough data
9.0
29
Not enough data
9.2
30
Not enough data
9.2
29
Bug Reporting
Not enough data
8.9
191
Not enough data
8.9
188
Not enough data
9.0
192
Bug Monitoring
Not enough data
8.5
186
Not enough data
8.9
196
Not enough data
9.0
184
Agentic AI - Bug Tracking
Not enough data
9.5
26
Not enough data
9.4
26
Not enough data
9.3
26
Functionality - Software Composition Analysis
Not enough data
8.9
74
Not enough data
9.1
78
Not enough data
9.2
77
Effectiveness - Software Composition Analysis
Not enough data
8.9
76
Not enough data
9.1
78
Not enough data
8.9
75
Management
Not enough data
8.9
137
Not enough data
9.2
136
Not enough data
8.6
133
Functionality
Not enough data
8.8
134
Not enough data
8.9
136
Not enough data
8.7
134
Processes
Not enough data
8.9
136
Not enough data
8.8
134
Not enough data
9.1
138
Functionality
Not enough data
9.3
223
Not enough data
9.0
212
Not enough data
8.7
204
Management
Not enough data
8.9
217
Not enough data
8.9
213
Not enough data
8.3
208
Agentic AI - Continuous Integration
Not enough data
8.9
33
Not enough data
9.0
33
Not enough data
8.9
33
Not enough data
8.5
33
Not enough data
8.8
33
Documentation
Not enough data
8.8
184
Not enough data
8.8
179
Not enough data
8.6
170
Security
Not enough data
8.3
167
Not enough data
8.6
168
Not enough data
9.0
177
Categories
Categories
Shared Categories
AWS CodeStar and GitHub are categorized as Continuous Delivery
Unique Categories
AWS CodeStar has no unique categories
GitHub is categorized as DevOps Platforms, Software Composition Analysis, Cloud Infrastructure Automation, Static Application Security Testing (SAST), Application Release Orchestration, Version Control Hosting, Peer Code Review, Gaming Tools, Bug Tracking, Configuration Management, Continuous Integration, Build Automation, and Secure Code Review
Reviews
Reviewers' Company Size
AWS CodeStar
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
GitHub
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
Information Technology and Services
18.8%
Consumer Goods
12.5%
Computer Software
12.5%
Program Development
6.3%
Online Media
6.3%
Other
43.8%
Computer Software
31.7%
Information Technology and Services
22.7%
Internet
6.7%
Higher Education
3.4%
Financial Services
3.2%
Other
32.3%
Alternatives
Discussions
AWS CodeStar has no discussions with answers
What is GitHub used for?
8 Comments
MK
- store software source code
- use actions to execute CI / CD and publish artefacts / create releases
- lightweight software project managementRead more
What can GitHub be used for?
5 Comments
MS
It's a platform for version controlling. Where group of people collaborate each other and work on a single project. Read more
What does GitHub mean?
2 Comments
JV
It is a platform for doing projects based on serveral services like website development projects etcRead more
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
