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AI · head to head

C3 AI Suite vs Qovery

C3 AI Suite logo

C3 AI Suite

AI

Model-driven application platform for building enterprise AI on top of existing operational systems

From
On request
Free plan
No
Full reviewWebsite
Qovery logo

Qovery

Cloud

Deployment platform that provisions and operates Kubernetes inside your own cloud account

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: C3 AI Suite the commercial model bundles software with heavy professional services, so the licence line in the quote understates the first-year cost by a wide margin and budgets set from the licence alone overrun.; Qovery no plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • They diverge on capability: C3 AI Suite covers Type system, Qovery covers Bring your own cloud.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which C3 AI Suite and Qovery actually diverge.

Attributes where C3 AI Suite and Qovery differ
AttributeC3 AI SuiteQovery
PlatformsWeb, LinuxWeb, CLI, REST API, Kubernetes
CategoryAICloud

Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 C3 AI Suite

  • Type system
  • Pre-built applications
  • Model lifecycle
  • C3 Generative AI
  • Multi-cloud deployment
  • FedRAMP and IL environments

Only in Qovery

  • Bring your own cloud
  • Preview environments
  • Cluster lifecycle
  • Terraform provider
  • MCP server
  • Policy as code

What people use each for

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

C3 AI Suite

  • A utility with decades of SCADA history wanting failure prediction on transformers without hiring a data science teamnot Qovery
  • A defence agency needing an AI platform accredited for classified environments rather than a commercial SaaSnot Qovery
  • An oil and gas operator consolidating condition data from OSIsoft PI, SAP and bespoke historians into one modelnot Qovery
  • A bank building transaction monitoring where the vendor supplies both the models and the analysts who tune themnot Qovery

Qovery

  • A regulated business that must keep application data inside its own AWS account but has nobody to build a deployment platformnot C3 AI Suite
  • Giving twenty engineers preview environments per pull request without writing and maintaining Terraform and Helm by handnot C3 AI Suite
  • Standardising deployment across AWS and GCP when acquisitions have left the organisation on two cloudsnot C3 AI Suite
  • Replacing a managed platform when data residency rules put every hosted option out of reachnot C3 AI Suite

Where each one falls short

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

C3 AI Suite

  • The commercial model bundles software with heavy professional services, so the licence line in the quote understates the first-year cost by a wide margin and budgets set from the licence alone overrun.
  • Applications are written against C3 proprietary types, so nothing built on the platform ports to a generic Spark or Databricks stack without a rewrite, which makes exit expensive after two or three years.
  • Contracts have historically been large multi-year commitments with a small number of very large customers, which means pricing is negotiated case by case and small buyers get little leverage.
  • Skills are scarce outside C3 itself, so hiring an engineer who already knows the platform is hard and the customer stays dependent on the vendor for extensions.
  • Pre-built applications need substantial configuration against the customer data model before they produce anything, so the marketing claim of a packaged app understates the integration work by months.

Qovery

  • No plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • The GPL-3.0 engine and console do not constitute a self-hostable product, because the control plane and API are closed and the self-hosted option is gated behind Enterprise, so the open licence gives you no exit if the company changes direction.
  • Qovery provisions managed Kubernetes into your account, which means the cloud bill sits on top of the licence and Qovery initiates control plane and ingress controller upgrades on infrastructure your team is accountable for.
  • The company repositioned to agentic infrastructure in June 2026 and now ships a deployment platform, a browser development portal and autonomous coding agents concurrently, so a buyer of the deployment product is not at the centre of the roadmap.
  • Team and Business are capped at two and three connected clusters with fixed 4 vCPU CI runners and no single sign-on on Team, which pushes teams of moderate size onto quoted Enterprise pricing earlier than the plan names imply.

Pricing, plan by plan

C3 AI Suite

On request
  • C3 AI Suite$undefined/year
    • Platform subscription sized by application and data volume
    • Paid pilot engagement typically precedes a subscription
    • Professional services quoted separately

Qovery

On request
  • Team$undefined/year
    • Billed on usage with no published rate card
    • 10 users, up to 100 environments, 2 connected clusters
    • 5,000 deployment minutes and 7 day audit logs
  • Business$undefined/year
    • Billed on usage with no published rate card
    • 20 users, up to 250 environments, 3 connected clusters
    • 10,000 deployment minutes and 30 day audit logs
  • Enterprise$undefined/year
    • Custom users, environments and clusters
    • Self-hosted or air-gapped control plane
    • On-premises and bring-your-own-Kubernetes

Which should you pick?

Choose C3 AI Suite if

  • You need type system.
  • You work on Web, Linux.
  • You also want pre-built applications.
C3 AI Suite review

Choose Qovery if

  • You need bring your own cloud.
  • You work on Web, CLI, REST API, Kubernetes.
  • You also want preview environments.
Qovery review

Questions people ask

Is C3 AI Suite or Qovery better?
Neither clearly leads. C3 AI Suite starts at On request and Qovery at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, C3 AI Suite or Qovery?
C3 AI Suite starts at On request and Qovery at On request.
Does C3 AI Suite or Qovery run on more platforms?
C3 AI Suite runs on Web, Linux. Qovery runs on Web, CLI, REST API, Kubernetes.
What is C3 AI Suite best used for?
C3 AI Suite is most often used for a utility with decades of scada history wanting failure prediction on transformers without hiring a data science team, a defence agency needing an ai platform accredited for classified environments rather than a commercial saas, an oil and gas operator consolidating condition data from osisoft pi, sap and bespoke historians into one model, a bank building transaction monitoring where the vendor supplies both the models and the analysts who tune them. Of those, a utility with decades of scada history wanting failure prediction on transformers without hiring a data science team and a defence agency needing an ai platform accredited for classified environments rather than a commercial saas are not what Qovery is typically brought in for.
What can C3 AI Suite do that Qovery cannot?
C3 AI Suite covers Type system, Pre-built applications, Model lifecycle, C3 Generative AI. Qovery covers Bring your own cloud, Preview environments, Cluster lifecycle, Terraform provider.

Answered from the vendors’ own pages

C3 AI Suite: Does C3 publish pricing?

No. Everything is quoted, and the shape of the deal, pilot then subscription, means the first number you see is for a proof of value rather than the platform.

Qovery: Does Qovery run my applications on its own servers?

No. It provisions and operates Kubernetes inside your AWS, GCP, Azure or Scaleway account, so compute and data stay with your cloud provider and that bill is entirely separate from the Qovery licence.

C3 AI Suite: Can it run in a classified environment?

Yes. C3 supports air-gapped and government cloud deployments, including FedRAMP-authorised environments, which is a large part of why defence buyers choose it.

Qovery: Can I self-host Qovery?

Only on Enterprise. The deployment engine and console are GPL-3.0, but the control plane is closed source and the self-hosted and air-gapped deployments are commercial Enterprise features.

C3 AI Suite: Do we own the models we build?

You own the models and the data. The application logic is written in C3 types, so the artefacts are portable in principle and impractical to move in practice.

Qovery: What does it cost?

Qovery does not publish a rate card. Team and Business are billed on usage and quoted through sales, and Enterprise is fully custom. There is a 14 day trial with no card required.

Qovery: What survives if I stop paying?

The Kubernetes cluster and the workloads keep running in your cloud account, but you lose the console, the deployment pipeline, preview environments and every process built on top of them.

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