Daytona vs Google Colab
Daytona
daytona.io
Google Colab
colab.research.google.comSide by side
| Figure | Daytona | Google Colab |
|---|---|---|
| Price from | Free | $8.33/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 9 | 9 |
| Spec score · Coding Playgrounds | 9.2 (#8) | 9.3 (#4) |
| Company founding | Daytona's own about page says the company was founded in 2023. | Google's corporate history says Google Inc. was officially formed in August 1998 and later moved its headquarters to Mountain View. |
| Documentation depth | The official docs cover platform concepts, sandbox classes, agent tools, human tools, webhooks, security, observability, deployments, SDK references and CLI usage. | Official documentation includes FAQs, example notebooks, release notes, API reference, Workspace administration help and Colab Enterprise documentation. |
| Notable news | The October 12, 2026 changelog release v0.224.0 added per-call region selection for sandbox and snapshot creation and fixed Python and TypeScript PTY and log streaming behavior. | Google announced on September 22, 2026 that eligible Google AI subscribers receive premium Colab benefits, with Ultra adding uninterrupted background execution and premium GPU access. |
| Public API | Daytona publishes an API reference at app.daytona.io/api and documents bearer-key REST calls. | The Colab API is a beta, allowlist-only API for programmatically managing runtimes, with REST resources for runtimes, runtime specifications, subscriptions and operations. |
| Rating on G2 | 4.3 out of 5 from 24 reviews. | 4.4 out of 5 from 57 reviews |
| Support | The terms state that Daytona support may be provided through email, Slack, in-app chat, video support, and community forums. | Users can report bugs or ask questions through Help > Send feedback in any Colab notebook. |
| What it does | Daytona provides secure, elastic infrastructure for executing AI-generated code inside isolated sandboxes. | Google Colab is a browser-based hosted Jupyter notebook service for Python, machine learning, data science and education that requires no local setup. |
Plans
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
Google Colab
- Colab Pro$8.33 a month
- Colab Pro+$41.66 a month
- ColabFree
- Colab freeFree
- Colab EnterprisePriced on request
- Colab ProPrice not published
- Colab Pro+Price not published
- Colab Pro / Pro+ / Pay As You GoPriced on request
- Pay As You GoPrice not published
In their own words
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.
Google Colab
Google Colab lets users write and run Python in a browser without configuring a local environment, with access to GPUs and notebook sharing. Its hosted Jupyter notebooks combine executable code with rich text, images, HTML, and LaTeX. Data can come from Google Drive, spreadsheets, GitHub, and other sources, with Google Cloud Storage, Sheets, and BigQuery resources listed for integration. Colab AI can generate or transform code, explain Python libraries, suggest fixes, and perform multi-step data-analysis workflows. By default, it does not access Drive files or user secrets, though it can generate code to access them when explicitly requested. Google says generative-AI features collect prompts, related code, outputs, usage information, and feedback; human reviewers may process that data for up to 18 months. Free notebooks can run for at most 12 hours, depending on availability and usage. Pro+ supports continuous execution up to 24 hours when enough compute units are available. Colab also has a Visual Studio Code extension and a beta, allowlist-gated API. Paid plans start at 8.33 USD/user/mo (annual).