AWS Cloud9 vs. GitLab
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
AWS Cloud9 | Score8.2 out of 10 | N/A | AWS Cloud9 is a cloud-based integrated development environment (IDE) used to write, run, and debug code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, and PHP, with no need to install files or configure a development machine to start new projects. | N/A |
GitLab | Score8.9 out of 10 | N/A | GitLab is an intelligent orchestration platform for DevSecOps, where software teams enable AI at every stage of the software lifecycle to ship faster. The platform enables teams to automate repetitive tasks across planning, building, securing, testing, deploying, and maintaining software. | $0 per month per user |
| AWS Cloud9 | GitLab | |||||||||||||||
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| Additional Details | — | GitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab’s agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security. If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need. Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration. | ||||||||||||||
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| AWS Cloud9 | GitLab | |
|---|---|---|
| Considered Both Products | No answer on this topic | No answer on this topic |
| Key User Insights | ||
| Would buy again | ||
100% Would buy again 5 Answers | 97% Would buy again 150 Answers | |
| Delivers good value for the price | ||
100% Delivers good value for the price 5 Answers | 99% Delivers good value for the price 135 Answers | |
| Happy with the feature set | ||
100% Happy with the feature set 5 Answers | 99% Happy with the feature set 152 Answers | |
| Lived up to sales and marketing promises | ||
No answers on this topic | 100% Lived up to sales and marketing promises 92 Answers | |
| Implementation went as expected | ||
No answers on this topic | 97% Implementation went as expected 120 Answers | |
| AWS Cloud9 | GitLab | |
|---|---|---|
| Small Businesses | Visual Studio Score8.8 out of 10 | GitGuardian Score9 out of 10 |
| Medium-sized Companies | PyCharm Score9.3 out of 10 | No answers on this topic |
| Enterprises | WebStorm Score9.6 out of 10 | No answers on this topic |
| All Alternatives | View all alternatives | View all alternatives |
| AWS Cloud9 | GitLab | |
|---|---|---|
| Likelihood to Recommend | 8.0 | 8.6 |
| Likelihood to Renew | - | 9.0 |
| Usability | 7.5 | 8.8 |
| Performance | - | 9.0 |
| Support Rating | 8.0 | 10.0 |
| Product Scalability | - | 10.0 |
| AWS Cloud9 | GitLab | |
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| Likelihood to Renew | No answers on this topic |
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| Reliability and Availability | No answers on this topic |
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| Scalability | No answers on this topic |
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| ScreenShots | GitLab Screenshots |








