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Developer Tools · head to head

Ona (formerly Gitpod) vs Spot AI

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
Spot AI logo

Spot AI

Cybersecurity

Cloud video intelligence that runs on your existing cameras through an on-site recorder

From
$99/month
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.; Spot AI at roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • They diverge on capability: Ona (formerly Gitpod) covers Ephemeral environments, Spot AI covers Camera agnostic.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Ona (formerly Gitpod) and Spot AI differ
AttributeOna (formerly Gitpod)Spot AI
Starting priceFree$99/month
Pricing modelPer month by compute unitPer camera per month, all inclusive
Free tierYesNo
PlatformsWeb, Linux, macOS, Windows, AWS, Google Cloud PlatformWeb, iOS, Android
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 Spot AI

  • Camera agnostic
  • Intelligent Video Recorder
  • AI video search
  • Operational analytics
  • Cloud management
  • Alerting and clip sharing
  • All-in per-camera pricing

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

Spot AI

  • A manufacturer with hundreds of existing cameras that wants cloud search without replacing any of themnot Ona (formerly Gitpod)
  • A logistics operator investigating dock door delays and trailer dwell time from footagenot Ona (formerly Gitpod)
  • A retail chain reviewing incidents across dozens of stores without a VPN into each sitenot Ona (formerly Gitpod)
  • A safety team detecting forklift near-misses and missing personal protective equipment automaticallynot 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.

Spot AI

  • At roughly $99 per camera per month the all-in rate is high against a perpetual VMS licence: 200 cameras is around $240,000 a year, recurring, where an on-premise system would be largely a one-time cost.
  • Reusing existing cameras saves capital but caps quality; AI analytics on a fifteen-year-old analogue camera produces correspondingly poor results and no software fixes the optics.
  • Per-camera monthly billing scales linearly with camera count, so adding coverage is always expensive and there is no volume point where marginal cameras become cheap.
  • The on-site IVR is a single point of failure per location, so an appliance fault takes that site's recording and cloud access with it until it is replaced.
  • It is a subscription with no perpetual option, so an organisation that stops paying loses the platform entirely and is left with cameras and no management system.

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

Spot AI

$99/month
  • Spot AI$99/month
    • Reference rate of roughly $99 per camera per month
    • Includes the on-site IVR appliance, cloud software, AI and support
    • Monthly, annual and multi-year terms available

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 Spot AI if

  • You need camera agnostic.
  • You work on Web, iOS, Android.
  • You also want intelligent video recorder.
Spot AI review

Questions people ask

Is Ona (formerly Gitpod) or Spot AI better?
Neither clearly leads. Ona (formerly Gitpod) starts at Free and Spot AI at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ona (formerly Gitpod) or Spot AI?
Ona (formerly Gitpod) has a free tier; the other does not. Paid plans start at Free for Ona (formerly Gitpod) and $99/month for Spot AI.
Does Ona (formerly Gitpod) or Spot AI run on more platforms?
Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS, Google Cloud Platform. Spot AI runs on Web, iOS, Android.
Can I use Ona (formerly Gitpod) for free?
Yes. Ona (formerly Gitpod) has a free tier, so you can try it without paying. Spot AI starts at $99/month.
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 Spot AI is typically brought in for.
What can Ona (formerly Gitpod) do that Spot AI cannot?
Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard. Spot AI covers Camera agnostic, Intelligent Video Recorder, AI video search, Operational analytics.

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.

Spot AI: Do I have to buy new cameras?

No. That is the main point of the product: the IVR appliance connects to existing IP and analogue cameras.

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.

Spot AI: What does it cost?

The reference rate that recurs across pricing breakdowns and Spot AI materials is roughly $99 per camera per month, bundling the appliance, cloud software, AI and support.

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.

Spot AI: Is there a perpetual licence option?

No. It is subscription only, and the platform stops working when the subscription does.

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.

Spot AI: Will AI analytics work on my old analogue cameras?

They will run, but detection quality follows image quality. Old low resolution cameras produce poor analytics results.

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