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Cybersecurity · head to head

DataGrail vs Refact

DataGrail logo

DataGrail

Cybersecurity

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

From
On request
Free plan
No
Refact logo

Refact

Developer Tools

Autonomous AI coding agent for development tasks

From
Free
Free plan
Yes

The short version

  • Only Refact 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.; Refact requires configuration for optimal performance
  • They diverge on capability: DataGrail covers Live data discovery, Refact covers Autonomous agent workflows.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrail and Refact actually diverge.

Attributes where DataGrail and Refact differ
AttributeDataGrailRefact
Starting priceOn requestFree
Pricing modelquoteFreemium with paid tiers
Free tierNoYes
PlatformsWeb, APIVS Code, Web
CategoryCybersecurityDeveloper Tools
FoundedUnknown2023

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 Refact

  • Autonomous agent workflows
  • IDE chat
  • Real-time code completions
  • GitHub integration
  • Database integration
  • On-premise deployment
  • Multi-LLM support
  • 25+ language support

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

Refact

  • Autonomous code generation for development tasksnot DataGrail
  • End-to-end bug fixes and refactoringnot DataGrail
  • Multi-language software development accelerationnot DataGrail
  • Enterprise development with data privacy requirementsnot 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.

Refact

  • Requires configuration for optimal performance
  • On-premise deployment adds operational complexity
  • Free tier limited by daily agent request quota
  • Coin system adds complexity to cost calculation

Pricing, plan by plan

DataGrail

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

Refact

Free
  • FreeFree
    • Limited daily agent usage
    • Unlimited completions
    • 2,000 coins for agent and chat
  • Pro$10/month
    • 40 daily agent requests
    • 64k context window
    • 10,000 coins monthly
  • Enterprise$undefined/custom
    • On-premise deployment
    • Custom coin allocation
    • Fine-tuning support

Which should you pick?

Choose DataGrail if

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

Choose Refact if

  • You need autonomous agent workflows.
  • You want to start without paying.
  • You work on VS Code, Web.
  • You also want ide chat.

Questions people ask

Is DataGrail or Refact better?
Neither clearly leads. DataGrail starts at On request and Refact at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrail or Refact?
Refact has a free tier; the other does not. Paid plans start at On request for DataGrail and Free for Refact.
Does DataGrail or Refact run on more platforms?
DataGrail runs on Web, API. Refact runs on VS Code, Web.
Can I use Refact for free?
Yes. Refact 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 Refact is typically brought in for.
What can DataGrail do that Refact cannot?
DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration.

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.

Refact: How many programming languages does Refact support?

Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.

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.

Refact: Can I deploy Refact on-premises?

Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.

Source
DataGrail: What does it cost?

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

Refact: What LLMs does Refact support?

Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.

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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