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Developer Tools · head to head

Daytona vs Securiti

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
Securiti logo

Securiti

Cybersecurity

Data and AI security posture management with privacy operations on a single data catalogue

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only Daytona has a free tier, so it costs nothing to try first.
  • 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.; Securiti value depends entirely on connector coverage and completed scanning, so the first useful data map commonly takes months and stalls whenever a data owner will not grant access to a system.
  • They diverge on capability: Daytona covers Sub-second sandbox creation, Securiti covers Sensitive data discovery.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Daytona and Securiti actually diverge.

Attributes where Daytona and Securiti differ
AttributeDaytonaSecuriti
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
Platformsweb, linux, windows, apiWeb
CategoryDeveloper ToolsCybersecurity

Identical on both: 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 Securiti

  • Sensitive data discovery
  • Data security posture management
  • Data access intelligence
  • AI and LLM governance
  • PrivacyOps
  • Data flow governance
  • Breach impact analysis
  • People data graph

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 Securiti
  • Executing untrusted user code for a coding platformnot Securiti
  • Running GPU workloads on demand without provisioning dedicated serversnot Securiti
  • Testing Windows-specific code paths in a sandboxnot Securiti

Securiti

  • An enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictionsnot Daytona
  • A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Daytona
  • A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Daytona
  • A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot 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.

Securiti

  • Value depends entirely on connector coverage and completed scanning, so the first useful data map commonly takes months and stalls whenever a data owner will not grant access to a system.
  • Usage-based pricing tied to data volume means costs rise as the estate grows rather than as the security programme matures, and organisations with large but low-risk data lakes pay for scanning they do not need.
  • The breadth across DSPM, privacy and AI governance means each individual module is competing with a specialist, and buyers who only need one of the three often find a focused tool does that job better for less.
  • Classification accuracy on unstructured and free-text data requires tuning, and untuned deployments generate false positives that erode trust in the catalogue precisely when teams are being asked to act on it.
  • Pricing is unpublished and modular, so scoping is difficult without a sales engagement and the eventual cost depends on module choices that are hard to evaluate before you have seen your own data map.

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

Securiti

On request
  • Data and AI Command Centre$undefined/year
    • Modular, usage based pricing quoted by data volume and modules selected
    • Available through the AWS marketplace as well as direct
    • Annual subscription with no fixed end date, cancellable

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 Securiti if

  • You need sensitive data discovery.
  • You also want data security posture management.
Securiti review

Questions people ask

Is Daytona or Securiti better?
Neither clearly leads. Daytona starts at Free and Securiti at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Daytona or Securiti?
Daytona has a free tier; the other does not. Paid plans start at Free for Daytona and On request for Securiti.
Does Daytona or Securiti run on more platforms?
Daytona runs on web, linux, windows, api. Securiti runs on Web.
Can I use Daytona for free?
Yes. Daytona has a free tier, so you can try it without paying. Securiti starts at On request.
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 Securiti is typically brought in for.
What can Daytona do that Securiti cannot?
Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance.

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
Securiti: Is Securiti a DSPM tool or a privacy tool?

Both, deliberately. It runs data security posture management and privacy operations off one discovery catalogue, which is its main argument against buying two products.

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
Securiti: What does it cost?

Not published. Pricing is modular and usage based, quoted by data volume and selected modules, and it is also available through the AWS marketplace.

Daytona: Are discounts available for startups?

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

Source
Securiti: How long until it is useful?

Expect months, not weeks. The limiting factor is configuring connectors and getting access approvals to the systems you most want scanned.

Securiti: Does it govern AI use?

Yes, it includes controls over data flowing into models and retrieval pipelines, which is increasingly the reason enterprises shortlist it.

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