
Daytona
8.4#12 in coding playgroundsFree planFree planWebAPILinuxmacOS
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| Fact | Daytona | E2B |
|---|---|---|
| Code execution | The platform runs commands and code with real-time output streaming and configurable execution controls. | Sandboxes expose command execution, code execution, PTY access and full desktop environments. |
| Compliance | Daytona's Trust Center lists GDPR, HIPAA, SOC 2, ISO/IEC 27001, SOC 2 Type 1, and SOC 2 Type 2 compliance materials. | E2B maintains a SOC 2 Type II report and signs HIPAA Business Associate Agreements on Enterprise plans. |
| Documentation depth | The official docs cover platform concepts, sandbox classes, agent tools, human tools, webhooks, security, observability, deployments, SDK references and CLI usage. | Documentation contains quickstarts, examples, SDK method references, API references, an llms.txt index and an unauthenticated MCP documentation server. |
| Funding | Ry Walker Research reports a $24 million Series A in February 2026 led by FirstMark, with Datadog and Figma Ventures participating. | Crunchbase lists E2B as a private Series A company in San Francisco with 14 investors, including Operator Collective and KAYA. |
| Isolation | Daytona describes separated and isolated runtime protection for executing AI-generated code. | Each sandbox runs in its own Firecracker microVM and kernel, without sharing a filesystem or memory with another customer's sandboxes. |
| Rating on G2 | 4.3 out of 5 from 24 reviews. | 0.0 out of 5 from 0 reviews. |
| Rating on GetApp | 0.0 out of 5 from 0 reviews. | 0.0 out of 5 from 0 reviews. |
| Sandbox isolation | Each sandbox has an isolated kernel, filesystem, network stack, vCPU, memory and disk allocation. | Each sandbox runs in a Firecracker microVM with its own kernel and no shared filesystem or memory between customers. |
Daytona suits developers and teams running AI-generated code, coding agents, evaluations or data analysis in controlled workspaces. It may also fit teams that need self-hosting, GPU workspaces or JetBrains support.
E2B suits teams building AI agents that need isolated execution, code interpretation, or desktop interaction. Self-hosting and BYOC are options for teams with those deployment needs.