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Cybersecurity · head to head

DataGrail vs Garden

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
Garden logo

Garden

Developer Tools

Kubernetes development and testing automation with shared caching, now owned by Incredibuild

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Garden 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.; Garden incredibuild acquired Garden in November 2024 and the pricing page now redirects to documentation, so there is no public commercial offer and no published roadmap for a team betting a platform on it.
  • They diverge on capability: DataGrail covers Live data discovery, Garden covers Action graph.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrail and Garden actually diverge.

Attributes where DataGrail and Garden differ
AttributeDataGrailGarden
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsWeb, APILinux, macOS, Windows, Kubernetes
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 DataGrail

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

Only in Garden

  • Action graph
  • Shared result caching
  • Remote Kubernetes environments
  • In-cluster builds
  • Same config everywhere
  • Hot reload sync
  • Helm and Kustomize support
  • Templating

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

Garden

  • A platform team whose integration test suite takes longer than the coffee break and needs caching to cut the loopnot DataGrail
  • An organisation with thirty or more services on Kubernetes where docker-compose no longer approximates productionnot DataGrail
  • Giving every developer an ephemeral namespace instead of queuing for one shared staging environmentnot DataGrail
  • Running the identical build and test definition locally and in CI so failures reproduce on a laptopnot 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.

Garden

  • Incredibuild acquired Garden in November 2024 and the pricing page now redirects to documentation, so there is no public commercial offer and no published roadmap for a team betting a platform on it.
  • It is tightly bound to Kubernetes, so teams running on ECS, Nomad, plain VMs or serverless get little from it and would need a different tool entirely.
  • The YAML action graph is a real configuration surface: a large monorepo needs someone to own and maintain Garden config as a first-class artefact, which is a standing platform-engineering cost.
  • Shared remote environments mean every developer needs cluster access and a cost allocation model, so cloud spend rises and namespace sprawl becomes a thing you have to police.
  • Caching correctness depends on declaring dependencies accurately; an under-declared action will serve a stale cached pass and hide a genuine test failure, which is a hard class of bug to notice.

Pricing, plan by plan

DataGrail

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

Garden

Free
  • Garden open sourceFree
    • Apache 2.0 licensed CLI
    • Full action graph and caching
    • Self-managed clusters
  • Commercial tier$undefined/year
    • Hosted caching and team features
    • Support and onboarding
    • Pricing no longer published since the Incredibuild acquisition

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 Garden if

  • You need action graph.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Kubernetes.
  • You also want shared result caching.
Garden review

Questions people ask

Is DataGrail or Garden better?
Neither clearly leads. DataGrail starts at On request and Garden at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrail or Garden?
Garden has a free tier; the other does not. Paid plans start at On request for DataGrail and Free for Garden.
Does DataGrail or Garden run on more platforms?
DataGrail runs on Web, API. Garden runs on Linux, macOS, Windows, Kubernetes.
Can I use Garden for free?
Yes. Garden 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 Garden is typically brought in for.
What can DataGrail do that Garden cannot?
DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. Garden covers Action graph, Shared result caching, Remote Kubernetes environments, In-cluster builds.

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.

Garden: Is Garden still maintained?

The open source project remains on GitHub under Incredibuild ownership, but the commercial pricing page redirects to the docs and there is no public paid offer.

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

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

Garden: Do I need Kubernetes?

Effectively yes. Garden is built around Kubernetes environments and offers little to teams on other runtimes.

DataGrail: What does it cost?

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

Garden: Does it replace my CI system?

No. It runs inside GitHub Actions, GitLab CI or similar and speeds up what those pipelines execute.

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.

Garden: What is the actual saving?

It comes from skipping builds and tests whose inputs have not changed, so the benefit scales with how many services you have and how often only a few change.

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