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Cybersecurity · head to head

DataGrail vs Endor Labs

DataGrail logo

DataGrail

Cybersecurity

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

From
On request
Rated
-
Endor Labs logo

Endor Labs

Cybersecurity

Security and AI agent governance for code and supply chain

From
Free
Rated
-

The short version

  • Only Endor Labs 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.; Endor Labs pricing requires contacting sales, no transparent rates
  • They diverge on capability: DataGrail covers Live data discovery, Endor Labs covers AI coding agent governance.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrail and Endor Labs actually diverge.

Attributes where DataGrail and Endor Labs differ
AttributeDataGrailEndor Labs
Starting priceOn requestFree
Pricing modelquoteSeat-based per contributing developer with volume discounts
Free tierNoYes
PlatformsWeb, APIWeb, CLI, IDE
FoundedUnknown2021

Identical on both: user rating (Not yet rated), category (Cybersecurity).

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 Endor Labs

  • AI coding agent governance
  • SAST scanning
  • Secrets detection
  • Reachability analysis
  • Open source dependency scanning
  • Package firewall
  • MCP server integration

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 Endor Labs
  • A company processing hundreds of CCPA requests a month where manual fulfilment has become a full-time jobnot Endor Labs
  • A privacy team leaving OneTrust because the platform tracked requests but staff still completed them by handnot Endor Labs
  • An organisation needing evidence for a regulator that deletion actually occurred in every system, not that a ticket was closednot Endor Labs

Endor Labs

  • Securing AI coding agent outputs before deploymentnot DataGrail
  • Reducing SAST false positives with reachability analysisnot DataGrail
  • Managing open source supply chain risknot DataGrail
  • Enforcing security policies in CI/CD pipelinesnot 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.

Endor Labs

  • Pricing requires contacting sales, no transparent rates
  • Developer tier lacks UI and historical scan data
  • Free tier limited to local scanning only
  • Seat-based model may become expensive for large teams

Pricing, plan by plan

DataGrail

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

Endor Labs

Free
  • DeveloperFree
    • Local scanning
    • Read-only vulnerability data
    • No UI, policies, or scan history

Which should you pick?

Choose DataGrail if

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

Choose Endor Labs if

  • You need ai coding agent governance.
  • You want to start without paying.
  • You work on Web, CLI, IDE.
  • You also want sast scanning.

Questions people ask

Is DataGrail or Endor Labs better?
Neither clearly leads. DataGrail starts at On request and Endor Labs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrail or Endor Labs?
Endor Labs has a free tier; the other does not. Paid plans start at On request for DataGrail and Free for Endor Labs.
Does DataGrail or Endor Labs run on more platforms?
DataGrail runs on Web, API. Endor Labs runs on Web, CLI, IDE.
Can I use Endor Labs for free?
Yes. Endor Labs 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 Endor Labs is typically brought in for.
What can DataGrail do that Endor Labs cannot?
DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. Endor Labs covers AI coding agent governance, SAST scanning, Secrets detection, Reachability analysis.

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.

Endor Labs: What is the difference between Endor Labs Developer and paid tiers?

Developer tier is free and provides local scanning via MCP server with read-only vulnerability access and no UI. Paid tiers (Core and Pro) add team features like policy enforcement, enterprise integrations, reporting, and scan history.

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.

Endor Labs: How does Endor Labs define seats for pricing?

Seats are calculated per contributing developer (those with commits in monitored repositories within the last 90 days). Volume discounts apply as team size grows.

Source
DataGrail: What does it cost?

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

Endor Labs: Does Endor Labs support on-premises deployment?

The platform is cloud-based SaaS by default. Enterprise customers should contact sales to discuss custom deployment options.

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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