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Cybersecurity · head to head

DataGrail vs Ona (formerly Gitpod)

DataGrail logo

DataGrail

Cybersecurity

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

From
On request
Free plan
No
Ona (formerly Gitpod) logo

Ona (formerly Gitpod)

Developer Tools

Cloud development environments repositioned as a control plane for software engineering agents

From
Free
Free plan
Yes

The short version

  • Only Ona (formerly Gitpod) 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.; Ona (formerly Gitpod) acquisition risk has already materialised: the company closed a sale to OpenAI on 10 August 2026 and now sits inside the Codex team, so nothing public guarantees pricing, continuity or neutrality between model vendors beyond honouring existing commitments.
  • They diverge on capability: DataGrail covers Live data discovery, Ona (formerly Gitpod) covers Ephemeral environments.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DataGrail and Ona (formerly Gitpod) actually diverge.

Attributes where DataGrail and Ona (formerly Gitpod) differ
AttributeDataGrailOna (formerly Gitpod)
Starting priceOn requestFree
Pricing modelquotePer month by compute unit
Free tierNoYes
PlatformsWeb, APIWeb, Linux, macOS, Windows, AWS, Google Cloud Platform
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 Ona (formerly Gitpod)

  • Ephemeral environments
  • Agent sessions
  • Bring your own cloud
  • Devcontainer standard
  • Compute unit budgeting
  • Enterprise identity

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

Ona (formerly Gitpod)

  • Giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setupnot DataGrail
  • Running several coding agents in parallel against real databases and services instead of on a laptopnot DataGrail
  • Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot DataGrail
  • Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot 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.

Ona (formerly Gitpod)

  • Acquisition risk has already materialised: the company closed a sale to OpenAI on 10 August 2026 and now sits inside the Codex team, so nothing public guarantees pricing, continuity or neutrality between model vendors beyond honouring existing commitments.
  • Two disruptive changes of direction inside a year, from development environments to agent orchestration and then from independence to acquisition, mean the product a browser IDE buyer originally chose no longer exists in that form.
  • The Gitpod Classic sunset on 15 October 2025 required manual conversion of configuration, hand-moved secrets, self-rescued workspace data and a brand new account, which is the clearest available precedent for how the vendor handles deprecation.
  • Community self-hosting is finished: the AGPL-3.0 repository is deprecated by its own README, and self-hosted now means a vendor-operated install in your AWS or GCP account, with no Azure, no on-premises and no air-gapped path.
  • Pricing is difficult to model because it runs on a compute unit currency where subscription credits expire at the end of the month, the mapping from units to actual compute is not published on the pricing page, and Enterprise is quotation only.

Pricing, plan by plan

DataGrail

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

Ona (formerly Gitpod)

Free
  • FreeFree
    • Up to 3 parallel environments
    • Machines up to 4 vCPU, 16 GB memory and 80 GB disk
    • Ona Cloud multi-tenant only
  • Core$20/month
    • From 20 US dollars a month, up to 100 team members
    • Includes 80 to 2,200 recurring compute units a month depending on tier
    • Additional units from 10 US dollars per 40 units
  • Enterprise$undefined/year
    • Single-tenant deployment in your own AWS or GCP account
    • SAML and OIDC single sign-on
    • Dedicated account management and forward deployed engineers

Which should you pick?

Choose DataGrail if

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

Choose Ona (formerly Gitpod) if

  • You need ephemeral environments.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows, AWS, Google Cloud Platform.
  • You also want agent sessions.

Questions people ask

Is DataGrail or Ona (formerly Gitpod) better?
Neither clearly leads. DataGrail starts at On request and Ona (formerly Gitpod) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataGrail or Ona (formerly Gitpod)?
Ona (formerly Gitpod) has a free tier; the other does not. Paid plans start at On request for DataGrail and Free for Ona (formerly Gitpod).
Does DataGrail or Ona (formerly Gitpod) run on more platforms?
DataGrail runs on Web, API. Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS, Google Cloud Platform.
Can I use Ona (formerly Gitpod) for free?
Yes. Ona (formerly Gitpod) 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 Ona (formerly Gitpod) is typically brought in for.
What can DataGrail do that Ona (formerly Gitpod) cannot?
DataGrail covers Live data discovery, Request automation, Audit trail, Consent management. Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard.

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.

Ona (formerly Gitpod): Is Gitpod still called Gitpod?

No. It rebranded to Ona in September 2025, and gitpod.io now redirects to ona.com. The company was acquired by OpenAI in a deal that closed on 10 August 2026.

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

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

Ona (formerly Gitpod): Can I still self-host it for free?

No. The AGPL-3.0 self-hosted project is deprecated by its own README. What is offered now is a vendor-operated single-tenant install in your AWS or GCP account on the Enterprise plan.

DataGrail: What does it cost?

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

Ona (formerly Gitpod): What happened to Gitpod Classic?

Pay-as-you-go Classic was switched off on 15 October 2025. Migration required converting gitpod.yml to devcontainer.json, moving secrets by hand, downloading workspace data before the cutoff and creating a new account.

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.

Ona (formerly Gitpod): What does it cost?

Core starts at 20 US dollars a month and includes a monthly allowance of Ona Compute Units, with more from 10 dollars per 40 units. Subscription credits expire monthly. Enterprise is quoted.

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