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E2B vs Daytona. Rows marked Differs have different values.

Startup

E2B

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Startup

Daytona

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TypeStartupStartup
Categories
In one lineOpen-source sandboxes for running AI-generated code.Elastic sandboxes for running AI-generated code.
Stage & funding——
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People linked33
EventsDiffers0
Pros
  • User reportsUses Firecracker microVM isolation; one team building persistent dev machines said it had everything they needed.[1][2]
  • User reportsA common choice for per-session isolation in multi-tenant agent backends, including sandboxes that hold no credentials and sit behind gateways.[1][2]
  • User reportsIts API has become a target others build to: some self-hosted sandboxes advertise E2B compatibility.[1]
  • MetadataApache-2.0 and very actively maintained (about 14.6k stars, commits on 29 Oct 2026).[1]
  • User reportsA user reports that it can resize a running sandbox without stopping it, unlike Modal.[1]
  • User reportsAgent startups run it in production, including as a fallback provider.[1][2]
  • User reportsSimple per-second pricing per vCPU and per GiB of RAM (users quote $0.0504/h per vCPU and $0.0162/h per GiB).[1]
Cons
  • User reportsOne builder found that managed sandboxes, E2B included, carry a large markup over bare-metal Docker or QEMU and handle long-running agents poorly.[1][2]
  • User reportsA competitor says E2B sandboxes feel less like full VMs and cannot run everything an EC2 instance can.[1]
  • User reportsSwitching sandbox providers is not trivial, so lock-in matters when you choose.[1]
  • MetadataCore development went private in June 2026, and the public GitHub repo is archived.[1][2]
  • User reportsStrict limits on concurrent resources; one user called their startup credits close to useless until they reached tier 3.[1][2]
  • User reportsPer-second billing adds up for sandboxes left running; one team found even a minimal setup costly at scale and wanted flat-fee pricing.[1][2]
  • User reportsA competitor says its Sysbox-based isolation has problems with low-level workloads.[1]
Best forAgent products that need fast, strongly isolated code execution per session behind a widely supported API.Teams that want resizable, long-lived agent sandboxes with straightforward per-second pricing.
Watch out forCheck session lifetime limits and per-second cost for long-running agents before you commit.With the open-source repo archived, self-hosting or forking is no longer a realistic exit.
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