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Developer Tools · head to head

Ona (formerly Gitpod) vs Quantexa

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
Full reviewWebsite
Quantexa logo

Quantexa

Cybersecurity

Entity resolution and network analytics for financial crime investigation

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only Ona (formerly Gitpod) has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Quantexa pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
  • They diverge on capability: Ona (formerly Gitpod) covers Ephemeral environments, Quantexa covers Entity resolution.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Ona (formerly Gitpod) and Quantexa differ
AttributeOna (formerly Gitpod)Quantexa
Starting priceFreeOn request
Pricing modelPer month by compute unitquote
Free tierYesNo
PlatformsWeb, Linux, macOS, Windows, AWS, Google Cloud PlatformWeb, Linux
CategoryDeveloper ToolsCybersecurity

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 Ona (formerly Gitpod)

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

Only in Quantexa

  • Entity resolution
  • Network generation
  • Contextual monitoring
  • Investigation workspace
  • Data fusion
  • Deployment on customer cloud

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 Quantexa
  • Running several coding agents in parallel against real databases and services instead of on a laptopnot Quantexa
  • Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot Quantexa
  • Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot Quantexa

Quantexa

  • A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot Ona (formerly Gitpod)
  • Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Ona (formerly Gitpod)
  • Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Ona (formerly Gitpod)
  • A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot 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.

Quantexa

  • Pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
  • Output quality is bounded by input data quality, and organisations without governed customer data spend the first phase of the programme fixing feeds rather than catching criminals.
  • Implementation typically requires a systems integrator and runs into quarters rather than weeks, so the business case has to survive a long period with no operational benefit.
  • The platform augments rather than replaces existing transaction monitoring, so you keep paying for the incumbent system alongside it and total compliance technology spend rises before it falls.
  • Skills are scarce; the platform needs people who understand both Spark scale data engineering and financial crime typologies, and those people are hard to recruit and easy to lose.

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$20/month
    • From 20 US dollars a month, up to 100 team members
    • Includes 80 to 2,200 recurring compute units a month depending on tier
    • Additional units from 10 US dollars per 40 units
  • Enterprise$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

Quantexa

On request
  • Quantexa Platform$undefined/year
    • Entity resolution and network generation
    • Deployed in customer cloud tenancy
    • Priced by data volume and use case count

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, Google Cloud Platform.
  • You also want agent sessions.
Ona (formerly Gitpod) review

Choose Quantexa if

  • You need entity resolution.
  • You work on Web, Linux.
  • You also want network generation.
Quantexa review

Questions people ask

Is Ona (formerly Gitpod) or Quantexa better?
Neither clearly leads. Ona (formerly Gitpod) starts at Free and Quantexa at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ona (formerly Gitpod) or Quantexa?
Ona (formerly Gitpod) has a free tier; the other does not. Paid plans start at Free for Ona (formerly Gitpod) and On request for Quantexa.
Does Ona (formerly Gitpod) or Quantexa run on more platforms?
Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS, Google Cloud Platform. Quantexa runs on Web, Linux.
Can I use Ona (formerly Gitpod) for free?
Yes. Ona (formerly Gitpod) has a free tier, so you can try it without paying. Quantexa starts at On request.
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 Quantexa is typically brought in for.
What can Ona (formerly Gitpod) do that Quantexa cannot?
Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard. Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace.

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.

Quantexa: Does Quantexa replace our transaction monitoring system?

No. It usually sits alongside it, adding network context to the alerts that system generates and to investigations.

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.

Quantexa: Where does our data go?

Into your own cloud tenancy in the normal deployment model. Quantexa does not require you to send customer data to a shared multi-tenant service.

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.

Quantexa: How is it priced?

Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.

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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