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Cybersecurity · head to head

DataGrail vs Depot

DataGrail logo

DataGrail

Cybersecurity

Privacy platform that finds shadow data systems and automates data subject requests across them

From
On request
Free plan
No
Full reviewWebsite
Depot logo

Depot

Developer Tools

Cloud-based builds and CI runs 55x faster with less cost

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Depot has a free tier, so it costs nothing to try first.
  • Each has a real cost: DataGrail no pricing is published, and while benchmarking suggests it undercuts OneTrust for comparable scope, cost still scales with request volume and connected systems, which grow with the business.; Depot developer plan minute limits may be insufficient for active development
  • They diverge on capability: DataGrail covers Live data discovery, Depot covers Depot CI.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrail and Depot actually diverge.

Attributes where DataGrail and Depot differ
AttributeDataGrailDepot
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWeb, APICloud, GitHub, CLI
CategoryCybersecurityDeveloper Tools
FoundedUnknown2022

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 DataGrail

  • Live data discovery
  • Request automation
  • Audit trail
  • Consent management
  • Integration catalogue
  • Risk monitoring
  • Consumer request portal
  • Reporting

Only in Depot

  • Depot CI
  • Container builds
  • GitHub Actions runners
  • Distributed caching
  • Build API
  • Depot Registry
  • Cross-platform builds
  • SSH debugging

What people use each for

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

DataGrail

  • A consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existednot Depot
  • A company processing hundreds of CCPA requests a month where manual fulfilment has become a full-time jobnot Depot
  • A privacy team leaving OneTrust because the platform tracked requests but staff still completed them by handnot Depot
  • An organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closednot Depot

Depot

  • Accelerating Docker builds for container-based developmentnot DataGrail
  • Replacing GitHub Actions runners with faster infrastructurenot DataGrail
  • Distributing cache across Monorepo buildsnot DataGrail
  • Debugging failed CI builds interactively with SSHnot DataGrail

Where each one falls short

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

DataGrail

  • No pricing is published, and while benchmarking suggests it undercuts OneTrust for comparable scope, cost still scales with request volume and connected systems, which grow with the business.
  • Automated fulfilment only works for systems with a supported connector, so homegrown applications and legacy databases still need manual handling, and those are usually where the awkward data lives.
  • Discovery works by observing integrations and traffic patterns, so genuinely isolated systems, offline data and files on employee machines remain invisible and outside the data map.
  • It is narrower than the enterprise privacy suites, lacking the assessment, third-party risk and wider GRC modules a large regulated organisation will also need, so it may be one of two platforms rather than the only one.
  • Deletion automation is irreversible and mistakes are unrecoverable, so teams need real confidence in identity verification before enabling it, and that caution often keeps deletion semi-manual for months after purchase.

Depot

  • Developer plan minute limits may be insufficient for active development
  • Startup plan at $200/mo is expensive for smaller teams
  • Business plan requires custom pricing consultation
  • macOS M2 runners not available on Developer plan

Pricing, plan by plan

DataGrail

On request
  • DataGrail Platform$undefined/year
    • Data discovery and mapping
    • Data subject request automation
    • Consent management

Depot

Free
  • Developer$20/month
    • 1 user
    • 500 Docker build minutes per month
    • 2,000 Depot CI minutes per month
  • Startup$200/month
    • Unlimited users
    • 5,000 Docker build minutes per month
    • 20,000 Depot CI minutes per month
  • Business$undefined/custom
    • Custom pricing
    • Unlimited users
    • Custom monthly compute

Which should you pick?

Choose DataGrail if

  • You need live data discovery.
  • You work on Web, API.
  • You also want request automation.
DataGrail review

Choose Depot if

  • You need depot ci.
  • You want to start without paying.
  • You work on Cloud, GitHub, CLI.
  • You also want container builds.
Depot review

Questions people ask

Is DataGrail or Depot better?
Neither clearly leads. DataGrail starts at On request and Depot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrail or Depot?
Depot has a free tier; the other does not. Paid plans start at On request for DataGrail and Free for Depot.
Does DataGrail or Depot run on more platforms?
DataGrail runs on Web, API. Depot runs on Cloud, GitHub, CLI.
Can I use Depot for free?
Yes. Depot has a free tier, so you can try it without paying. DataGrail starts at On request.
What is DataGrail best used for?
DataGrail is most often used for a consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existed, a company processing hundreds of ccpa requests a month where manual fulfilment has become a full-time job, a privacy team leaving onetrust because the platform tracked requests but staff still completed them by hand, an organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closed. Of those, a consumer brand whose deletion requests keep missing data in marketing tools the privacy team did not know existed and a company processing hundreds of ccpa requests a month where manual fulfilment has become a full-time job are not what Depot is typically brought in for.
What can DataGrail do that Depot cannot?
DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching.

Answered from the vendors’ own pages

DataGrail: How is DataGrail different from OneTrust?

OneTrust orchestrates the workflow; DataGrail focuses on connecting to systems and completing the request, and benchmark data suggests it prices materially below OneTrust for comparable scope.

Depot: How much faster are Depot runners compared to GitHub Actions?

Depot runners offer 30% faster CPUs and 10x faster networking than standard GitHub-hosted runners, enabling builds to complete significantly faster.

Source
DataGrail: Does it find systems we do not know about?

Yes. Continuous discovery of unsanctioned tools processing personal data is its main technical claim.

Depot: What is included in the Developer plan?

Developer plan ($20/month) includes 500 Docker build minutes, 2,000 Depot CI minutes, 2,000 GitHub Actions minutes, 25 GB storage, unlimited concurrency, and community support.

Source
DataGrail: What does it cost?

Not published. Pricing is quoted by request volume and connected systems, with multi-year commitments typically discounted.

Depot: Can I use Depot with my own AWS account?

Yes, Depot Managed allows deployment within customer AWS accounts. This is available to interested customers; contact sales for details.

Source
DataGrail: Does it cover consent as well as requests?

Yes, it includes consent management, though publishers needing certified advertising consent usually use a specialist CMP.

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