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AWS Cloud9 vs Daytona

AWS Cloud9

aws.amazon.com

Daytona

daytona.io

Side by side

FigureAWS Cloud9Daytona
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
API—Yes
Self-hosted—Yes
Plans published19
Spec score · Coding Playgrounds8.1 (#56)9.2 (#8)
Spec score · Cloud Development Environments8.1 (#13)9.2 (#1)

Plans

AWS Cloud9

  • AWS Cloud9Free

AWS Cloud9 pricing →

Daytona

  • Pay-as-you-goPrice not published
  • Free compute creditFree
  • Start-upsFree
  • StorageFree
  • Memory$0.02 a month
  • Compute vCPU$0.05 a month
  • Windows compute$0.09 a month
  • EnterprisePriced on request
  • Pay as you goPrice not published

Daytona pricing →

In their own words

AWS Cloud9

AWS Cloud9 is a browser-based IDE for writing, running, and debugging code. It combines an editor, debugger, and terminal and supports over 40 programming languages, including JavaScript, Python, PHP, Ruby, Go, and C++. Users can create environments on new EC2 instances or connect existing Linux servers over SSH. EC2 environments include Git, Docker, language runtimes, package managers, and an AWS CLI authenticated with the logged-in user’s permissions. Cloud9 includes tools for creating, editing, running, debugging, and deploying Node.js or Python AWS Lambda functions, with AWS SAM support. IAM users in the same AWS account can collaborate on IDE and command-line sessions. Editor features include auto-completion, code folding, hinting, syntax highlighting, and more than 30 color schemes. Cloud9 has no additional service charge, but EC2 compute, EBS storage, and other AWS resources are billed at normal rates. EC2 setups create an instance and 8-GB EBS volume, and users remain responsible for patching and backups. Environments can stop automatically after the IDE closes, which may end terminal sessions.

Visit aws.amazon.com

Daytona

Daytona provides a secure, elastic runtime for executing AI-generated code and agent workflows. Its homepage states that sandbox creation takes under 90ms, and Daytona describes runtime isolation for code execution. Programmatic controls cover processes, file-system operations, Git integration, and built-in language-server support. SDK examples or interfaces are shown for Python, TypeScript, Ruby, Go, and Java. Listed uses include AI evaluations, code interpreter workloads, coding agents, and data analysis. The product's listed environments include API, Linux, macOS, self-hosted, web, and Windows; its CLI documentation supports macOS, Linux, and Windows. Documentation lists Claude, Cursor, and Windsurf as supported agents. Network options include IP and domain allow lists, outbound blocking, and chained proxies. Organization-scoped secrets are encrypted at rest and injected as placeholders into sandboxes, with plaintext substituted only for allowed HTTPS hosts. Daytona has free offerings and usage-based pricing; compute, memory, storage, and Windows rates are listed, while Enterprise pricing requires contacting sales.

Visit daytona.io