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Databases · head to head

dbt vs Ona (formerly Gitpod)

dbt logo

dbt

Databases

SQL transformation framework enabling analytics engineers to version, test and deploy models

From
Free
Free plan
Yes
Visit dbtFull review
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
Visit Ona (formerly Gitpod)Full review

The short version

  • dbt is a transformation framework.
  • Free plans on both; paid from $100/user/mo and $20/mo.
  • Where dbt falls short: free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

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

Attributes where dbt and Ona (formerly Gitpod) differ
AttributedbtOna (formerly Gitpod)
Pricing modelSubscription|freePer month by compute unit
PlatformsWeb, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf)Web, Linux, macOS, Windows, AWS
CategoryDatabasesDeveloper Tools

Identical on both: starting price (Free), free tier (Yes).

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 dbt

Nothing recorded that Ona (formerly Gitpod) does not also cover.

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.

dbt

  • Data warehouse transformation and ELT pipelinesnot Ona (formerly Gitpod)
  • Analytics engineering for reporting and business intelligencenot Ona (formerly Gitpod)
  • Data quality testing and validation at scalenot Ona (formerly Gitpod)
  • Cross-functional data collaboration with version controlnot Ona (formerly Gitpod)
  • Cost optimisation of warehouse usage through intelligent schedulingnot 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 dbt
  • Running several coding agents in parallel against real databases and services instead of on a laptopnot dbt
  • Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot dbt
  • Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot dbt

Where each one falls short

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

dbt

  • Free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use
  • Starter at $1,200/year per seat: minimum 5-seat team costs $6,000/year baseline; no single-seat or 2-seat paid option
  • Enterprise pricing opaque: 'custom pricing' with no budget range for startups vs. enterprises; requires sales consultation
  • Model volume metering unclear: 'successful models/month' as a limit is ambiguous; unclear if this counts transformation runs, test runs, or deployment attempts

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

dbt

Free
  • DeveloperFree
    • Browser-based IDE
    • MFA
    • job scheduling
  • Starter$100/user/mo
    • dbt Wizard
    • basic Catalog
    • Semantic Layer
  • EnterpriseOn request
    • Advanced Catalog
    • Semantic Layer
    • dbt Copilot
  • Enterprise+On request
    • All Enterprise features
    • PrivateLink
    • IP restrictions

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/mo
    • 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
  • EnterpriseOn request
    • 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 dbt if

  • You want to start without paying.
  • You work on Web, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
dbt review

Choose Ona (formerly Gitpod) if

  • You need ephemeral environments.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows, AWS.
  • You also want agent sessions.
Ona (formerly Gitpod) review

Questions people ask

Is dbt or Ona (formerly Gitpod) better?
Neither clearly leads. dbt starts at Free and Ona (formerly Gitpod) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, dbt or Ona (formerly Gitpod)?
dbt starts at Free and Ona (formerly Gitpod) at Free.
Does dbt or Ona (formerly Gitpod) run on more platforms?
dbt runs on Web, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf). Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS.
Can I use dbt for free?
Both have a free tier, so you can try either at no cost before committing.
What is dbt best used for?
dbt is most often used for data warehouse transformation and elt pipelines, analytics engineering for reporting and business intelligence, data quality testing and validation at scale, cross-functional data collaboration with version control. Of those, data warehouse transformation and elt pipelines and analytics engineering for reporting and business intelligence are not what Ona (formerly Gitpod) is typically brought in for.
What can dbt do that Ona (formerly Gitpod) cannot?
Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard.

Answered from the vendors’ own pages

dbt: How much does dbt cost?

dbt Developer is free. dbt Starter is $100/seat/month with a 5-seat minimum (or custom annual billing). Enterprise and Enterprise+ have custom pricing and require contacting sales.

Source
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.

dbt: What is included in the free Developer plan?

The Developer plan is free and includes 1 developer seat, 3,000 successful models/month limit, 1 project, browser-based IDE, MFA, and job scheduling.

Source
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.

dbt: What is the model limit on each plan?

Developer tier allows 3,000 successful models/month. Starter allows 15,000/month. Enterprise and Enterprise+ allow 100,000/month.

Source
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.

dbt: Can I upgrade or downgrade my dbt plan?

Yes. dbt allows you to 'upgrade or downgrade at any time.' Starter plans bill monthly by credit card based on seat count; Enterprise plans are annual invoicing.

Source
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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