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It's a split decision.
Daytona is built around isolated, stateful sandboxes that developers create and control through APIs, with usage billed by the second. Docker spans container development, agent sandboxes, governance and hardened images, and connects to existing images, registries and CI. Choose Daytona when sandbox execution is the core requirement and compute-based billing fits. Choose Docker when local development, OCI-compatible workflows, agent controls and per-user plans matter more. Compare the cost of Daytona compute with Docker seats and any paid image or runtime add-ons.
01Side by side
| Daytona | Docker | |
|---|---|---|
| Pricing model | Usage-based compute, billed per second | Per-user plans; image products priced separately |
| Free tier | $200 in free compute | Free Personal plan and DHI Community |
| API and SDKs | Process, file, Git and LSP APIs; Python SDK example | Agent and container workflows; API details not published |
| CLI and docs | Docs and Python package quickstart | Command workflows and product documentation |
| Integrations | Git; Python, TypeScript, Ruby, Go and Java | Existing images, registries, CI, Claude, MCP and OCI |
| Deployment model | Elastic sandbox infrastructure for code execution | Local agent sandboxes and cloud sandboxes |
| Platforms | Web | Mac, Windows and Linux |
| Limits and scaling | Parallel workflows; volume discounts as usage scales | Plan caps vary by users, repos and runtime minutes |
Daytona Choose Daytona if
- Choose Daytona if sandbox execution is the product’s core workload.
- Choose Daytona if you need process, file, Git and LSP operations.
- Choose Daytona if per-second compute billing fits your usage.
Docker Choose Docker if
- Choose Docker if your team already builds with images, registries and CI.
- Choose Docker if developers need local and cloud agent sandboxes.
- Choose Docker if you need governance, hardened images or per-user plans.
02Pricing at real usage
Daytona’s Free compute plan includes $200 in compute credit and requires no credit card. Pay-as-you-go also includes $200 in free compute, then bills usage per second. The pricing page lists vCPU at $0.0504/hour, memory at $0.0162/GiB/hour, and storage at $0.000108/GiB/hour after the first 5 GiB. GPU and Windows rates vary by type. Volume discounts apply as usage scales; Enterprise pricing is custom.
Docker Personal is free and includes one user, one private Docker Hub repo and 100 pulls per hour. Pro costs $11 per user monthly or $9 billed annually; Team is $16 or $15, and Business is $24 under either option. These plans include different Docker Hub, Scout and Testcontainers Cloud limits. Additional Testcontainers minutes cost $3 per 100, or $4 per 100 on demand. DHI Select starts at $5,000 per repo.
03API, SDKs and integration
Daytona exposes APIs for process execution, file operations, Git and language-server features. Its homepage shows a Python package quickstart using pip install daytona, then creating a sandbox, executing a command and deleting the sandbox. It lists Python, TypeScript, Ruby, Go and Java support, but the shown SDK example is Python. The site links to docs and describes real-time process output, Git operations and file permissions.
Docker’s homepage centers on container and agent workflows rather than publishing API or SDK details. Its examples use commands to run agents and sandboxes, and it positions Docker Desktop as part of the container development loop. Docker says teams can use existing images, registries and CI, and names Claude, MCP and OCI in its ecosystem. Its platform spans Mac, Windows and Linux. The homepage describes Docker as OCI-compliant and platform-independent, and says agents can start locally and move to Cloud Sandboxes.
04Open source, self-hosting and lock-in
Neither vendor publishes a general open-source licence or self-hosting option for these platforms. Docker does state that its DHI Community catalog of open-source images is under Apache 2.0; that licence statement applies to those images, not necessarily Docker’s wider products. Docker describes its platform as OCI-compliant and says teams can keep using existing images, registries and CI. That can reduce changes to container workflows, though it does not establish that every Docker service is portable.
Daytona’s listed integration model centers on its sandbox APIs and Git operations. The vendor does not publish data-export or migration terms on its homepage. Docker’s homepage also does not specify export terms for governance records or cloud sandboxes. Before adopting either for production, ask about workspace and audit-log export, retention, deletion, and what happens to running sandboxes or stored data when a contract ends.
Questions people ask
Is Daytona or Docker cheaper?
It depends on what you run. Daytona bills compute per second after its included $200 credit, with separate hourly rates for resources such as vCPU and memory. Docker has free and paid per-user plans, with additional costs for some Testcontainers minutes and hardened-image products. Compare expected sandbox compute with seats and add-ons.
Does Daytona provide an API for AI agent sandboxes?
Yes. Daytona describes APIs for process execution, file operations, Git and language-server features. Its homepage shows a Python quickstart that creates a sandbox, runs a command and deletes the sandbox. It also lists support for Python, TypeScript, Ruby, Go and Java.
Can Docker run AI agents locally and in the cloud?
Docker says developers can start agents on a laptop and move tasks to Cloud Sandboxes. Its homepage describes microVM isolation for agent sessions locally or in the cloud, with network and filesystem controls. It also presents Docker Desktop as part of the local container development workflow.
Are Daytona and Docker open source or self-hostable?
The vendors do not publish a general open-source licence or self-hosting option for these platforms. Docker says its DHI Community catalog of open-source images is available under Apache 2.0; that does not establish the licence for Docker’s broader products. Ask each vendor about deployment and data-export terms.