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Developer Tools · head to head

Daytona vs Falco

Daytona logo

Daytona

Developer Tools

Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code

From
Free
Free plan
Yes
Full reviewWebsite
Falco logo

Falco

Cybersecurity

CNCF-graduated runtime threat detection for Linux and Kubernetes using eBPF

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Daytona pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.; Falco falco detects and alerts but does not block; stopping an attack requires wiring up Falco Talon or your own response tooling, so out of the box a confirmed detection still means a human intervening after the fact.
  • They diverge on capability: Daytona covers Sub-second sandbox creation, Falco covers eBPF kernel instrumentation.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Daytona and Falco actually diverge.

Attributes where Daytona and Falco differ
AttributeDaytonaFalco
Pricing modelusage-basedOpen source, no licence fee
Platformsweb, linux, windows, apiLinux, Kubernetes, Self-hosted
CategoryDeveloper ToolsCybersecurity

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Daytona

  • Sub-second sandbox creation
  • Per-second billing
  • GPU instances
  • Windows OS support
  • Enterprise BYOC

Only in Falco

  • eBPF kernel instrumentation
  • System call rules engine
  • Container and Kubernetes context
  • Default rule set
  • Falcosidekick
  • Falco Talon
  • Plugins framework
  • DaemonSet deployment

What people use each for

The jobs each tool is most often brought in to do.

Daytona

  • Running AI agent-generated code in a disposable, isolated sandboxnot Falco
  • Executing untrusted user code for a coding platformnot Falco
  • Running GPU workloads on demand without provisioning dedicated serversnot Falco
  • Testing Windows-specific code paths in a sandboxnot Falco

Falco

  • A platform team that needs to know when a shell is opened inside a production container, which image scanning cannot detect because it happens at runtimenot Daytona
  • A regulated business required to evidence host and container intrusion detection on Kubernetes nodes for an auditnot Daytona
  • A security team wanting a vendor-neutral detection layer whose rules they can read and modify rather than a black-box agentnot Daytona
  • A cluster where a compromised dependency might write to sensitive paths or open unexpected outbound connections, and only kernel-level visibility will catch itnot Daytona

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Daytona

  • Pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
  • GPU instances are priced separately and can be significantly more expensive than standard compute for AI-heavy use cases.
  • Enterprise features like SSO, audit logs, and BYOC are only available by contacting sales rather than self-serve.

Falco

  • Falco detects and alerts but does not block; stopping an attack requires wiring up Falco Talon or your own response tooling, so out of the box a confirmed detection still means a human intervening after the fact.
  • The default rule set is noisy in real clusters and generates a large volume of benign matches from normal operational activity; without weeks of tuning, alert fatigue sets in and the team stops reading the feed, which is the usual failure mode.
  • There is no storage, console, search or case management in the project, so a working detection capability means also running Falcosidekick, an event store, a dashboard and alert routing, all of which you build, host and maintain.
  • The modern eBPF driver requires kernel 5.8 or later; older hosts fall back to the legacy probe or the kernel module, which brings driver-building against kernel headers and the operational fragility that comes with it on every kernel upgrade.
  • Per-node syscall instrumentation carries measurable CPU overhead on busy hosts, and the cost scales with syscall volume rather than with cluster size, so the noisiest and most performance-sensitive workloads are exactly the ones that feel it most.

Pricing, plan by plan

Daytona

Free
  • Pay-as-you-go$undefined/mo
    • $0.0504 per vCPU/hour
    • $0.0162 per GiB memory/hour
    • $0.000108 per GiB storage/hour after 5 free GiB
  • Startup Program$undefined/mo
    • Up to $50,000 in free credits for qualifying startups
  • Enterprise$undefined/mo
    • Custom usage limits
    • SSO
    • Audit logs

Falco

Free
  • Falco (open source)Free
    • Apache 2.0 licence, CNCF graduated project
    • eBPF and kernel module drivers
    • Full rules engine and default rule set

Which should you pick?

Choose Daytona if

  • You need sub-second sandbox creation.
  • You want to start without paying.
  • You work on web, linux, windows, api.
  • You also want per-second billing.
Daytona review

Choose Falco if

  • You need ebpf kernel instrumentation.
  • You want to start without paying.
  • You work on Linux, Kubernetes, Self-hosted.
  • You also want system call rules engine.
Falco review

Questions people ask

Is Daytona or Falco better?
Neither clearly leads. Daytona starts at Free and Falco at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Daytona or Falco?
Daytona starts at Free and Falco at Free.
Does Daytona or Falco run on more platforms?
Daytona runs on web, linux, windows, api. Falco runs on Linux, Kubernetes, Self-hosted.
Can I use Daytona for free?
Both have a free tier, so you can try either at no cost before committing.
What is Daytona best used for?
Daytona is most often used for running ai agent-generated code in a disposable, isolated sandbox, executing untrusted user code for a coding platform, running gpu workloads on demand without provisioning dedicated servers, testing windows-specific code paths in a sandbox. Of those, running ai agent-generated code in a disposable, isolated sandbox and executing untrusted user code for a coding platform are not what Falco is typically brought in for.
What can Daytona do that Falco cannot?
Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Falco covers eBPF kernel instrumentation, System call rules engine, Container and Kubernetes context, Default rule set.

Answered from the vendors’ own pages

Daytona: How is Daytona usage metered?

Usage is billed per second across vCPU, memory, and storage consumed, with separate per-hour rates for GPU and Windows instances.

Source
Falco: Does Falco block attacks?

No. It detects and emits events. Response requires Falco Talon or your own automation on top.

Daytona: Is there a free plan, and what are its limits?

There is no flat free plan, but new signups receive $200 in free compute credit with no credit card required to start.

Source
Falco: Is Falco owned by Sysdig?

Sysdig created and open sourced it, but it graduated within the CNCF in February 2024, so governance sits with the foundation rather than the vendor.

Daytona: Are discounts available for startups?

Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.

Source
Falco: What does it cost?

The project is Apache 2.0 with no licence fee. The cost is the storage, routing, tuning and staff time needed to make its output useful.

Falco: What kernel version do I need?

Kernel 5.8 or later for the default modern eBPF driver. Older hosts need the legacy eBPF probe or the kernel module.

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