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Developer Tools · head to head

Ona (formerly Gitpod) vs Lightdash

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
Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Free plan
Yes
Visit LightdashFull review

The short version

  • Lightdash is an open-source business intelligence tool.
  • Lightdash is free; Ona (formerly Gitpod) starts at $20/mo.
  • Only Ona (formerly Gitpod) lists ephemeral environments; only Lightdash lists dbt Integration.
  • Where Lightdash falls short: requires existing dbt infrastructure, not suitable for teams without data models.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

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

Attributes where Ona (formerly Gitpod) and Lightdash differ
AttributeOna (formerly Gitpod)Lightdash
PlatformsWeb, Linux, macOS, Windows, AWSWeb, Self-hosted
CategoryDeveloper ToolsBusiness Intelligence

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

Not yet recorded: pricing model for Lightdash, founded for Ona (formerly Gitpod).

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 Ona (formerly Gitpod)

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

Only in Lightdash

  • dbt Integration
  • Metrics Layer
  • Dashboards
  • Scheduling
  • Version Control
  • dbt
  • BigQuery
  • Snowflake

What people use each for

The jobs each tool is most often brought in to do.

Ona (formerly Gitpod)

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

Lightdash

  • Self-service analyticsnot Ona (formerly Gitpod)
  • Data explorationnot Ona (formerly Gitpod)
  • Ad-hoc reportingnot Ona (formerly Gitpod)
  • Collaborative analysisnot Ona (formerly Gitpod)
  • Embedded analyticsnot Ona (formerly Gitpod)

Where each one falls short

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

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

Lightdash

  • Requires existing dbt infrastructure, not suitable for teams without data models
  • Enterprise features and AI agents unavailable in open-source MIT-licensed core

Pricing, plan by plan

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

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud ManagedOn request
    • Managed hosting
    • Premium features
    • AI agent capabilities

Which should you pick?

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

Choose Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want metrics layer.
Lightdash review

Questions people ask

Is Ona (formerly Gitpod) or Lightdash better?
Neither clearly leads. Ona (formerly Gitpod) starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ona (formerly Gitpod) or Lightdash?
Ona (formerly Gitpod) starts at Free and Lightdash at Free.
Does Ona (formerly Gitpod) or Lightdash run on more platforms?
Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS. Lightdash runs on Web, Self-hosted.
Can I use Ona (formerly Gitpod) for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ona (formerly Gitpod) best used for?
Ona (formerly Gitpod) is most often used for giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setup, running several coding agents in parallel against real databases and services instead of on a laptop, keeping source code off contractor and offshore laptops by moving the whole environment into a controlled account, reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machine. Of those, giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setup and running several coding agents in parallel against real databases and services instead of on a laptop are not what Lightdash is typically brought in for.
What can Ona (formerly Gitpod) do that Lightdash cannot?
Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.

Answered from the vendors’ own pages

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.

Lightdash: Is Lightdash free?

Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.

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.

Lightdash: How does Lightdash integrate with dbt?

Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.

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.

Lightdash: Does Lightdash support SQL queries?

Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.

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.

Lightdash: What are Lightdash AI agents?

Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.

Source
Lightdash: Can Lightdash be self-hosted?

Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.

Source
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