Business Intelligence · head to head
Cube vs Ona (formerly Gitpod)

Cube
Business Intelligence
AI-native analytics platform with semantic layer and governed access
- From
- Free
- Free plan
- Yes

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
- Free plans on both; paid from $40/mo and $20/mo.
- Only Cube lists analytics Chat; only Ona (formerly Gitpod) lists ephemeral environments.
- Where Cube falls short: per-developer licensing can be expensive for large analytics teams.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Cube and Ona (formerly Gitpod) actually diverge.
| Attribute | Cube | Ona (formerly Gitpod) |
|---|---|---|
| Pricing model | Per-developer seats with volume pricing | Per month by compute unit |
| Platforms | Web, Self-hosted | Web, Linux, macOS, Windows, AWS |
| Category | Business Intelligence | Developer 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 Cube
- Analytics Chat
- Workbooks
- Dashboards
- Embedded Analytics
- AI Integrations
- Core Data APIs
- Caching and pre-aggregations
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.
Cube
- Building governed semantic data models for analyticsnot Ona (formerly Gitpod)
- Embedding analytics into customer-facing productsnot Ona (formerly Gitpod)
- Enabling natural language data queries for teamsnot Ona (formerly Gitpod)
- Creating conversational dashboards with AI assistancenot 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 Cube
- Running several coding agents in parallel against real databases and services instead of on a laptopnot Cube
- Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot Cube
- Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot Cube
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cube
- Per-developer licensing can be expensive for large analytics teams
- Additional cost for Explorer and Viewer roles beyond developers
- Semantic layer approach requires upfront modeling investment
- Smaller connector ecosystem than dedicated BI platforms
- May be overengineered for simple reporting needs
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
Cube
Free- FreeFree
- For hobbyists and personal projects
- Basic data source connection
- Semantic modeling
- Starter$40
- Extended agent limits
- Premium LLMs
- Unlimited workbooks
- Premium$80
- All Starter features
- Embedded dashboards
- Embedded analytics chat
- EnterpriseOn request
- 99.990% uptime SLA
- Dedicated single-tenant installation
- Bring Your Own Cloud
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 Cube if
- You need analytics chat.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want workbooks.
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.
Questions people ask
- Is Cube or Ona (formerly Gitpod) better?
- Neither clearly leads. Cube 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, Cube or Ona (formerly Gitpod)?
- Cube starts at Free and Ona (formerly Gitpod) at Free.
- Does Cube or Ona (formerly Gitpod) run on more platforms?
- Cube runs on Web, Self-hosted. Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS.
- Can I use Cube for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cube best used for?
- Cube is most often used for building governed semantic data models for analytics, embedding analytics into customer-facing products, enabling natural language data queries for teams, creating conversational dashboards with ai assistance. Of those, building governed semantic data models for analytics and embedding analytics into customer-facing products are not what Ona (formerly Gitpod) is typically brought in for.
- What can Cube do that Ona (formerly Gitpod) cannot?
- Cube covers Analytics Chat, Workbooks, Dashboards, Embedded Analytics. Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard.
Answered from the vendors’ own pages
Cube: What is the cost per developer on Cube?
Starter plan costs $40/developer/month. Premium adds embedded analytics at $80/developer/month. Explorer and Viewer roles cost $40 and $20/month respectively.
SourceOna (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.
Cube: What uptime SLAs does Cube offer?
Premium plan offers 99.950% uptime SLA. Enterprise plan provides 99.990% uptime SLA with dedicated support.
SourceOna (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.
Cube: Can I use Cube for free?
Yes, the Free plan includes basic data source connection, semantic modeling, workbooks, and dashboards for hobbyists and personal projects.
SourceOna (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.
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.
Related pages
More on Ona (formerly Gitpod)
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- Ona (formerly Gitpod) vs Evidence
- Ona (formerly Gitpod) vs Zenlytic
- Ona (formerly Gitpod) vs Sisense
- Ona (formerly Gitpod) vs GoodData
- Ona (formerly Gitpod) vs Logi Analytics
- Ona (formerly Gitpod) vs Yellowfin
- Ona (formerly Gitpod) vs Dundas BI
- Ona (formerly Gitpod) vs Fabi
- Ona (formerly Gitpod) vs ThoughtSpot
- Ona (formerly Gitpod) vs Jedox
- Ona (formerly Gitpod) vs Pigment
- Ona (formerly Gitpod) vs Luzmo
- Ona (formerly Gitpod) vs IBM Cognos Analytics
- Ona (formerly Gitpod) vs Cyfe
- Ona (formerly Gitpod) vs DashThis
- Ona (formerly Gitpod) vs Deepnote
- Ona (formerly Gitpod) vs Geckoboard
- Ona (formerly Gitpod) vs Google Data Studio
- Ona (formerly Gitpod) vs Coder
- Ona (formerly Gitpod) vs CodeSandbox
- Ona (formerly Gitpod) vs StackBlitz
- Ona (formerly Gitpod) vs Namespace
- Ona (formerly Gitpod) vs Daytona
- Ona (formerly Gitpod) vs Earthly
- Ona (formerly Gitpod) vs Envoy
- Ona (formerly Gitpod) vs Nixpacks
- Ona (formerly Gitpod) vs Spacelift
- Ona (formerly Gitpod) vs Atlantis
- Ona (formerly Gitpod) vs Backstage
- Ona (formerly Gitpod) vs Cloud Native Buildpacks
- Ona (formerly Gitpod) vs Rust
- Ona (formerly Gitpod) vs Steampipe
- Ona (formerly Gitpod) vs Tilt
- Ona (formerly Gitpod) vs Vim
- Ona (formerly Gitpod) vs WarpBuild
- Ona (formerly Gitpod) vs Webpack
