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Cybersecurity · head to head

Drata vs Okteto

Drata logo

Drata

Cybersecurity

Agentic trust management with compliance automation.

From
On request
Free plan
No
Full reviewWebsite
Okteto logo

Okteto

Developer Tools

Runs production-like development environments on your own Kubernetes cluster

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Okteto has a free tier, so it costs nothing to try first.
  • Each has a real cost: Drata no published pricing for any tier; requires contacting sales team for quotes; Okteto two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Drata and Okteto actually diverge.

Attributes where Drata and Okteto differ
AttributeDrataOkteto
Starting priceOn requestFree
Pricing modelsubscriptionquote
Free tierNoYes
PlatformsWeb, APILinux, macOS, Windows, CLI, Kubernetes, Web
CategoryCybersecurityDeveloper Tools

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 Drata

Nothing recorded that Okteto does not also cover.

Only in Okteto

  • Cluster development environments
  • File synchronisation
  • Development containers
  • Environment catalogue
  • Preview environments
  • Bring your own cloud

What people use each for

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

Drata

  • SaaS companies automating SOC 2 certification for enterprise salesnot Okteto
  • Organisations managing multi-framework compliance simultaneouslynot Okteto
  • Vendor management programmes requiring third-party security assessmentsnot Okteto
  • Enterprises implementing AI governance and monitoring AI systemsnot Okteto
  • Organisations seeking continuous compliance monitoring rather than point-in-time auditsnot Okteto

Okteto

  • A microservices estate where no developer can run the full dependency graph on a laptopnot Drata
  • Giving each pull request a working environment reviewers can click rather than describenot Drata
  • Letting coding agents build and test against real databases and queues instead of mocksnot Drata
  • Removing a fleet of local Kubernetes installations that drift from production and produce false test resultsnot Drata

Where each one falls short

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

Drata

  • No published pricing for any tier; requires contacting sales team for quotes
  • Solution tiers (Startup, Growth, Enterprise) are marketing categories with no corresponding published prices or feature differentiation
  • No transparency on cost per framework, per user, or based on organisational size
  • AI questionnaire automation claims 375+ hours saved annually but does not publish per-questionnaire costs or limits
  • Compared directly with Vanta by customers, but pricing opaque for cost-benefit analysis

Okteto

  • Two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative.
  • The Apache-2.0 CLI is restricted to the development section of the manifest, so build services, user management and observability all require the commercial platform and the open licence provides very little continuity insurance.
  • The last disclosed funding round is a 15 million US dollar Series A from February 2022 with nothing announced since, and the contributor base is dominated by company employees, which is concentrated risk for something embedded in every developer daily loop.
  • You must bring and pay for the Kubernetes cluster, so node cost, capacity planning and version upgrades stay with your platform team on top of the licence fee.
  • The 2026 repositioning towards AI agents means the classic developer inner loop is no longer what the marketing leads with, so a buyer purchasing that use case should confirm roadmap commitment rather than assume it.

Pricing, plan by plan

Drata

On request
  • Startup$undefined/variable
    • 'Launch Trust Fast' with automated evidence collection
    • SOC 2 and other framework support
    • Basic compliance automation
  • Growth$undefined/variable
    • 'Accelerate Trust Smoothly' as teams expand
    • Multi-framework compliance
    • Enhanced AI automation
  • Enterprise$undefined/variable
    • 'Command Trust at Scale' for complex needs
    • Advanced GRC capabilities
    • Dedicated support

Okteto

Free
  • StarterFree
    • 5 seats included
    • Self-hosted deployment into your own cluster
    • Community support
  • Scale$undefined/year
    • Contact sales, no price, currency or billing period published
    • More seats and environments than Starter
    • Self-hosted deployment
  • Enterprise$undefined/year
    • Contact sales, no price published
    • Bring your own cloud deployment
    • Available through Google Cloud and AWS marketplaces

Which should you pick?

Choose Drata if

  • You work on Web, API.
Drata review

Choose Okteto if

  • You need cluster development environments.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, CLI, Kubernetes, Web.
  • You also want file synchronisation.
Okteto review

Questions people ask

Is Drata or Okteto better?
Neither clearly leads. Drata starts at On request and Okteto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Drata or Okteto?
Okteto has a free tier; the other does not. Paid plans start at On request for Drata and Free for Okteto.
Does Drata or Okteto run on more platforms?
Drata runs on Web, API. Okteto runs on Linux, macOS, Windows, CLI, Kubernetes, Web.
Can I use Okteto for free?
Yes. Okteto has a free tier, so you can try it without paying. Drata starts at On request.
What is Drata best used for?
Drata is most often used for saas companies automating soc 2 certification for enterprise sales, organisations managing multi-framework compliance simultaneously, vendor management programmes requiring third-party security assessments, enterprises implementing ai governance and monitoring ai systems. Of those, saas companies automating soc 2 certification for enterprise sales and organisations managing multi-framework compliance simultaneously are not what Okteto is typically brought in for.
What can Drata do that Okteto cannot?
Okteto covers Cluster development environments, File synchronisation, Development containers, Environment catalogue.

Answered from the vendors’ own pages

Drata: What compliance frameworks does Drata support?

Drata supports multiple frameworks including SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS and others, with multi-framework management capabilities.

Source
Okteto: Is Okteto open source?

The CLI is Apache-2.0, but the README states it supports only the development section of the manifest. Everything operationally interesting, including builds, user management and observability, is in the commercial platform.

Drata: Does Drata automate questionnaires?

Yes. Drata's AI uses approved content to draft consistent responses, automating questionnaire completion and saving claimed 375+ hours per year.

Source
Okteto: What does it cost?

Only the free Starter tier with five seats is published. Scale and Enterprise are both contact sales, with no price, currency or billing period disclosed on the pricing page.

Drata: How many customers does Drata have?

Drata serves 8,500+ global customers ranging from startups to enterprises, with a 4.8/5.0 rating on G2.

Source
Okteto: Do I need my own Kubernetes cluster?

Yes. Okteto installs into a cluster you provide and pay for, so capacity, upgrades and node costs remain your responsibility in addition to the licence.

Okteto: How is this different from running Kubernetes locally?

Environments run against the same managed databases, queues and service mesh as production, so a class of failures that only appears in a real cluster is caught before merge rather than after deploy.

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