Daytona vs Docker Cloud Sandboxes

Daytona runs sandboxes as containers by default, with Linux VM, Windows and GPU classes and no session cap. Docker Cloud Sandboxes gives every sandbox its own microVM, the same one you run on your laptop, but each one ends 24 hours after creation and you get 10 at a time by default.

The companies and products

Daytona

Daytona is a cloud for running AI-generated code: you create sandboxes from code through its API and SDKs.

By default a Daytona sandbox is a Linux container with its own namespaces and reserved vCPU, memory and disk. You can also pick a Linux VM class (pause, fork, memory snapshots, /dev/kvm), a Windows VM class, or a GPU class with Nvidia and AMD cards. It is built for teams that run agent code, code interpreters and evals through Python, TypeScript, Ruby, Go or Java SDKs.

Founded
2023

Docker Cloud Sandboxes

Docker Cloud Sandboxes runs Docker's sbx coding-agent microVMs on Docker-managed compute instead of your laptop.

Each sandbox is a microVM with its own Linux kernel and its own Docker Engine, started from the same sbx CLI you use locally, with Claude Code, Codex and other agents ready to run. You can move a sandbox from your laptop to the cloud and back, publish HTTPS ports and SSH in. It launched on September 24, 2026, is billed pay-as-you-go on a personal Docker account, and is built for developers who want their local agent sandboxes to keep going off their machine.

Which use cases each one fits

For each use case, Battleships prices every sandbox provider on the same workload and sorts them from the cheapest monthly bill up. “15th cheapest of 367” means 14 of the other 366 providers run that workload, with every feature it needs, for less. “With limits” means the provider runs it but misses something, so it is listed after every full match. Open a use case for its whole ranking and what each provider misses.

Use case and its workloadDaytona: price rankDocker Cloud Sandboxes: price rankboat: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Daytona fits a software factory because sandboxes have no session cap, while Docker stops each one at 24 hours and runs 10 at a time; boat fits with a full VM on every sandbox.
15th cheapest of 367
$4,111 a month
280th of 367, with limits
$4,928 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
An assistant that lives on its machine all month fits Daytona, which has no session cap, but not one Docker session, which ends 24 hours after creation.
24th cheapest of 366
$6,104 a month
276th of 366, with limits
$5,110 a month
5th cheapest of 366
$657 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
Both handle short code runs as a compromise here; Docker bills small sandboxes by the second with no fee, and Daytona creates hundreds of sandboxes a minute.
25th cheapest of 345
$271 a month
119th of 345, with limits
$233 a month
186th of 345, with limits
$2,000 a month
Sandboxes for your users
300 at once · 2 vCPU / 4 GB · 30,000 sessions of 23 min a month
300 sandboxes of 2 vCPU at once go past Daytona's Tier 4 pool of 500 vCPU and far past Docker's default of 10 sandboxes; boat fits on its $100 plan.
154th of 361, with limits
$2,000 a month
136th of 361, with limits
$1,628 a month
Cheapest of 361
$209 a month
RL rollouts
1,000 at once · 2 vCPU / 4 GB · 1,000,000 sessions of 3 min a month
130th of 360, with limits
$8,261 a month
114th of 360, with limits
$7,000 a month
34th of 360, with limits
$2,000 a month
Agent evals
250 at once · 4 vCPU / 8 GB · 15,000 sessions of 20 min a month
189th of 364, with limits
$2,000 a month
167th of 364, with limits
$1,400 a month
10th cheapest of 364
$200 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
Daytona caps one sandbox at 4 vCPU by default and Docker allows 10 at once, so both are a compromise for CI; boat allows 8 vCPU from the $20 plan.
308th of 377, with limits
$805 a month
172nd of 377, with limits
$672 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
183rd of 368, with limits
$245 a month
127th of 368, with limits
$204 a month
18th cheapest of 368
$26 a month
Computer-use agents
50 at once · 4 vCPU / 8 GB · 20,000 sessions of 15 min a month
Daytona fits computer-use agents with a VNC desktop and a computer-use API, while Docker's sandboxes are terminal only; boat streams a 60fps desktop.
26th cheapest of 369
$1,198 a month
268th of 369, with limits
$1,400 a month
6th cheapest of 369
$200 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
93rd of 367, with limits
$598 a month
277th of 367, with limits
$700 a month
7th cheapest of 367
$200 a month
Scraping & bots (startup scale)
50 at once · 1 vCPU / 2 GB · 100,000 sessions of 3 min a month
38th cheapest of 346
$404 a month
262nd of 346, with limits
$350 a month
6th cheapest of 346
$90 a month
Mass scraping & bots (undetectable)
1,000 at once · 1 vCPU / 2 GB · 3,000,000 sessions of 2 min a month
202nd of 338, with limits
$8,073 a month
190th of 338, with limits
$7,000 a month
71st of 338, with limits
$1,800 a month
Parallel red teaming
200 at once · 2 vCPU / 4 GB · 5,000 sessions of 30 min a month
Daytona fits parallel red teaming with many sandboxes and no session cap; Docker's 10 at a time and 24-hour cap make it a compromise.
12th cheapest of 360
$2,000 a month
248th of 360, with limits
$350 a month
2nd cheapest of 360
$200 a month
GPU eval jobs
10 at once · 8 vCPU / 32 GB · 500 sessions of 30 min a month
Only Daytona fits GPU jobs: it rents Nvidia and AMD GPUs by the hour, and neither Docker Cloud Sandboxes nor boat has GPUs.
20th cheapest of 98
$1,190 a month
Can't run itCan't run it
macOS agents
5 at once · 4 vCPU / 8 GB · 1,000 sessions of 20 min a month
Can't run itCan't run itCan't run it

Key features

FeatureDaytonaDocker Cloud Sandboxesboat
IsolationContainer by default; Linux VM and Windows VM classes have their own kernelMicroVM with its own Linux kernel for every sandboxFull VM with its own kernel for every sandbox, on dedicated AMD Ryzen 9 9950X hosts
Session lengthNo cap by default; you can set an optional time to live1 hour by default, at most 24 hours from creationNo cap on paid plans; you set the time to live
How many at onceA pool of 10 to 500 vCPU running at once, by tier10 sandboxes by default; no published way to raise it100 sandboxes on the $20 plan, up to 2,000 on higher plans
CPU speed (Node.js build-and-test, 4 vCPU / 8 GB)21.52 runs/s on the Linux VM classNot measured26.69 runs/s
Stop, pause and forkVM classes pause and fork with memory kept; containers cannotStop keeps memory and files; snapshot a running sandbox and restore it as a new oneFork a running sandbox with its disk; resume boots again from disk
Docker and nested virtualizationDocker in all classes; /dev/kvm only on Linux VMs, once KVM is turned on for your organizationIts own Docker Engine; nested virtualization not documentedDocker, root, systemd and /dev/kvm on every machine
Desktop and computer useVNC desktop and a computer-use API on Linux and WindowsTerminal sessions only60fps Linux desktop with Chromium, computer use and browser control
Inbound accessHTTPS preview URLs on any port, token-protected or public; SSH; no raw TCPPublic HTTPS URL per published port, not protected by Docker sign-in; SSHHTTPS URLs for up to 50 ports, token-protected; raw TCP; dedicated IPv4 or IPv6
Outbound internetTier 1 and 2 reach only registries, git hosts and AI APIs; Tier 3 and up get open internet and allowlistsAllow and deny rules by host, with allow-all, balanced and deny-all presetsOpen internet on every plan; no provider-side allowlist
Coding agentsGuides to install agents and run them as processesClaude Code, Codex, Copilot, OpenCode and more, attached from the sbx CLISeven agents preinstalled, with a prompt, steer and events API to drive them from outside
Keeping keys out of the sandboxSecrets proxy swaps placeholders in HTTPS headers for allowed hostsCloud proxy sets the auth header for AI services and custom hostsCredentials proxy for model providers and any HTTPS API; switch to another account when credits run out
GPUs and WindowsNvidia and AMD GPUs by the hour, and Windows VM sandboxesCPU only, Linux onlyNo GPUs; no Windows guests (Wine for Windows apps)
Laptop and cloudCloud, plus dedicated regions or your own machinesSame microVM and CLI on your laptop or in the cloud; move a sandbox either wayCloud only
RegionsUS and EU, plus dedicated regions and your own machinesNot publishedEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureDaytonaDocker Cloud Sandboxesboat
Full VM (own kernel)NoYesYes
Docker insideYesYesYes
Nested virtualizationYesNoYes
RootYesYesYes
SystemdNot publishedNot publishedYes
Desktop GUIYesNoYes
BrowserYesNoYes
Computer-use APIYesNoYes
SSHYesYesYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsYesYesYes
Fork/cloneYesYesYes
Live fork (no pause)NoYesYes
Memory forkYesYesNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsYesYesYes
Idle auto-stopYesNoNo
Wake on requestNoNot publishedNo
HTTPS preview URLsYesYesYes
Raw TCP inboundNoNot publishedYes
Public IPv4NoNoNo
Egress allowlistYesYesNo
Secret proxyYesYesYes
Secret proxy for any APIYesYesYes
Preinstalled agentsYesYesYes
Agent harness APINoNoYes
MCP serverYesYesNo
GPUYesNoNo
WindowsYesNoNo
Arm64NoYesNo
Self-hostingNoNoNo
BYOCYesNoNo
Open sourceNoNoNo
Scoped API keysYesNot publishedYes
Spend limitsNot publishedNot publishedYes
Usage per sandbox (API)YesNoYes
Audit logsYesNot publishedNo
SSOYesYesNo
SOC 2YesNoNo
HIPAAYesNoNo
EU data residencyYesNoYes
Zero data retentionNot publishedNot publishedYes

Performance

Daytona21.52 runs/s
Docker Cloud SandboxesNot measured
boat26.69 runs/s

In StarSling's public run of 2026-09-29 at 4 vCPU / 8 GB, boat did 26.69 Node.js build-and-test runs per second and Daytona's Linux VM class did 21.52. Daytona's default container class reported no result. Docker Cloud Sandboxes launched in September 2026 and has no comparable measurement yet.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. Daytona measured on: Linux VM sandbox (same rates; KVM / nested virt per-org feature). Docker Cloud Sandboxes has no published run in this suite yet, so there is no like-for-like number to compare.

Pricing in five scenarios

Each bill is priced from the providers' public price lists by the open Battleships engine, with the cheapest plan that runs the scenario.

ScenarioDaytona, a monthDocker Cloud Sandboxes, a monthboat, a month
One coding agent, workdays
4 vCPU / 8 GB, 50 GB disk, 8 hours a day, 22 days a month, files kept between days
$56 · Tier 3 ($500 top-up)$49 · Docker Agentic Platform (pay-as-you-go)$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$245 · Tier 3 ($500 top-up)$204 · Docker Agentic Platform (pay-as-you-go) · with limits$26 · $20/mo
50 agents in parallel
50 machines of 4 vCPU / 8 GB at once, 8-hour sessions, 1,100 sessions a month, Docker inside
$2,682 · Tier 3 ($500 top-up)$2,464 · Docker Agentic Platform (pay-as-you-go) · with limits$317 · $20/mo × 3 seats
Sandboxes for your users
2 vCPU / 4 GB, 30,000 sessions of 10 minutes a month, up to 300 at once
$2,000 · Tier 4 ($2,000 top-up every 30 days) · with limits$700 · Docker Agentic Platform (pay-as-you-go) · with limits$200 · $100/mo × 2 seats
1,000 short jobs at once
2 vCPU / 4 GB, 1,000 at once, 3 minutes each, 200,000 jobs a month
$2,000 · Tier 4 ($2,000 top-up every 30 days) · with limits$1,400 · Docker Agentic Platform (pay-as-you-go) · with limits$2,000 · $2000/mo · with limits

Daytona: Daytona bills per second for the vCPU, memory and disk you reserve, and keeps billing the disk while a sandbox is stopped. You pay from a prepaid wallet: open internet needs a $500 top-up (Tier 3), and the biggest pool needs $2,000 every 30 days (Tier 4).

Docker Cloud Sandboxes: Docker bills per second for the size you pick, from $0.07 an hour for 1 vCPU / 2 GiB to $1.12 an hour for 16 vCPU / 32 GiB, with no monthly fee. A stopped sandbox costs nothing, and volumes and egress are free.

Docker Cloud Sandboxes: Plans start at $20 a month, and the whole fee becomes usage credit spent per second while sandboxes run. A stopped sandbox costs nothing and keeps its disk.

Limits in those scenarios

Docker ends every sandbox 24 hours after creation, so one agent that never stops does not fit, and its default of 10 sandboxes at once rules out 50 agents in parallel, sandboxes for your users and 1,000 short jobs at once. Daytona has no session cap, but it limits the vCPU running at once to a pool of up to 500 on Tier 4, so 300 user sandboxes (600 vCPU) and the 1,000-job burst (2,000 vCPU) need a custom limit. Daytona's Tier 1 and 2 also reach only an allowlist of services. boat fits every scenario but the burst, where its start limits queue the jobs.

ScenarioDaytonaDocker Cloud Sandboxesboat
One coding agent, workdays
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
None that biteNone that bite
One agent that never stops
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • Docker Agentic Platform (pay-as-you-go): sessions capped at 24 h
None that bite
50 agents in parallel
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • Docker Agentic Platform (pay-as-you-go): max 10 concurrent
None that bite
Sandboxes for your users
  • max 500 vCPU running at once (needs 600)
  • max 1,000 GiB running at once (needs 1,200)
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • Docker Agentic Platform (pay-as-you-go): max 10 concurrent
None that bite
1,000 short jobs at once
  • max 500 vCPU running at once (needs 2,000)
  • max 1,000 GiB running at once (needs 4,000)
  • egress price not published
  • Tier 1 (email verified), Tier 2 (card + $25 top-up) reach only an allowlist (package registries, git, AI APIs)
  • Docker Agentic Platform (pay-as-you-go): max 10 concurrent
  • max 2,400 starts/day (needs ~6,667)
  • max 600 starts/hour (needs ~1,000)
  • bursts above 90 starts/min are queued (a burst of 333 takes ~4 min to start)

Which one should you use?

Use Daytona when

your agents need GPUs, Windows, a US region or your own machines, or must run longer than a day.

  • No session cap. For agents that work for days: a Daytona sandbox has no time limit by default, while Docker ends each one at 24 hours.
  • GPUs and Windows. For model evals or Windows desktops: Daytona rents Nvidia and AMD GPUs by the hour and runs Windows VM sandboxes.
  • More at once, in more places. For bigger fleets: Daytona's limit is a vCPU pool of up to 500, and it runs in the US, the EU or on your machines.

Use Docker Cloud Sandboxes when

you already run agents in sbx on your laptop and want a few of them to keep going in the cloud for up to a day, with memory kept across stops.

  • A microVM for every sandbox. For teams that want a separate kernel without picking a class: every Docker sandbox is a microVM with its own Docker Engine.
  • Memory kept on every stop. For agents that pause between steps: a stopped Docker sandbox comes back with its memory and running processes.
  • The same sandbox on your laptop. If you already run sbx locally, the cloud is the same microVM and CLI, and a sandbox can move between them.

Where boat fits

If your agents run for hours or days, build and test real code, and need a screen or emulators, look at boat. Every sandbox is a full VM with Docker, /dev/kvm and a desktop, it has no session cap on paid plans, and the $20 plan runs 100 at once.

A full VM with /dev/kvm, every time

Daytona's default sandbox is a container on a shared kernel, and /dev/kvm needs its VM class plus KVM turned on for your organization. Docker does not document nested virtualization, so Android emulators and VMs have nowhere to run.

Long and wide without a wall

On Docker your code must stop and resume an agent before 24 hours, and the eleventh one waits for a slot. On Daytona, open internet needs a $500 top-up and 300 small sandboxes go past the 500 vCPU pool.

Agents and a desktop built in

On Daytona you install the agent and run it as a process; on Docker you attach to its terminal, which has no desktop. Either way you write the wrapper. boat drives seven agents through an API, with a 60fps desktop.

Use boat when your agents run for days or by the dozen on a full, faster VM with Docker, /dev/kvm, a desktop and coding agents you drive through an API. Compare it one to one: boat vs Daytona and boat vs Docker Cloud Sandboxes.

Questions people ask

Is Daytona cheaper than Docker Cloud Sandboxes?

For one coding agent on workdays at 4 vCPU / 8 GiB, Docker is a little cheaper: $49 a month against $56 on Daytona. In our other scenarios Docker does not fit, because of its 24-hour cap or its 10 sandboxes at once. boat comes to $20 for the same workday agent.

Which is faster, Daytona or Docker Cloud Sandboxes?

Only Daytona has a public number: its Linux VM class did 21.52 Node.js build-and-test runs per second at 4 vCPU / 8 GB. Docker Cloud Sandboxes has not been measured yet. boat did 26.69 in the same run.

Are Daytona and Docker sandboxes containers or VMs?

Daytona's default class is a container, and it also sells Linux VM and Windows VM classes with their own kernel. Every Docker cloud sandbox is a microVM with its own Linux kernel and Docker Engine. Every boat sandbox is a full VM.

Can a Docker cloud sandbox run as long as a Daytona sandbox?

No. A Docker cloud sandbox ends one hour after creation by default and can be extended to at most 24 hours. A Daytona sandbox has no time limit by default, and boat has no session cap on paid plans.

Can I run Docker inside Daytona and Docker Cloud Sandboxes?

Yes, both run Docker inside the sandbox. Daytona also offers /dev/kvm on its Linux VM class once KVM is turned on for your organization, while Docker does not document nested virtualization. boat has Docker and /dev/kvm on every machine.

Which one has a desktop for computer use?

Daytona has a VNC desktop and a computer-use API on Linux and Windows. Docker's cloud sandboxes are terminal sessions only. boat streams a 60fps Linux desktop with Chromium on every sandbox.

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