Softwr

Energy · head to head

Cognite Data Fusion vs Quorum CTRM

Cognite Data Fusion logo

Cognite Data Fusion

Energy

Industrial data platform that contextualises OT, IT and engineering data into an asset-centric knowledge graph

From
On request
Rated
-
Full reviewWebsite
Quorum CTRM logo

Quorum CTRM

Energy

Commodity trading and risk management for energy

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cognite Data Fusion the platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.; Quorum CTRM no price, licensing model, deployment option cost or contract term is published; there is no pricing page linked from the site
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Quorum CTRM covers Deal capture.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and Quorum CTRM actually diverge.

Attributes where Cognite Data Fusion and Quorum CTRM differ
AttributeCognite Data FusionQuorum CTRM
Pricing modelquotesubscription
PlatformsWeb, CloudWeb, Desktop, Api
FoundedUnknown1998

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Energy).

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 Cognite Data Fusion

  • Asset-centric data model
  • Entity matching
  • P&ID parsing
  • 3D contextualisation
  • Cognite Atlas AI
  • Data workflows
  • Open SDKs
  • Extractors

Only in Quorum CTRM

  • Deal capture
  • Position management
  • Risk analytics
  • Credit management
  • Settlement
  • Regulatory compliance
  • Market data
  • Reporting

What people use each for

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

Cognite Data Fusion

  • An operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one searchnot Quorum CTRM
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Quorum CTRM
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Quorum CTRM
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Quorum CTRM

Quorum CTRM

  • Upstream oil and gas production accounting and well operationsnot Cognite Data Fusion
  • Midstream pipeline and LNG managementnot Cognite Data Fusion
  • Energy trading and risk management across the value chainnot Cognite Data Fusion

Where each one falls short

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

Cognite Data Fusion

  • The platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.
  • Pricing is consumption-based and unpublished, so costs move with data volume and usage patterns you cannot forecast well until a year in.
  • It does not replace your historian, your ERP or your maintenance system, so Cognite is an additional recurring cost layered on systems you still pay for.
  • The reference base and data model lean heavily towards Norwegian and wider oil, gas and process industries; discrete manufacturing fit is weaker and the local partner network thinner outside energy.
  • Getting value out requires in-house Python and data engineering skill; organisations without a data team end up dependent on Cognite professional services for every new use case.

Quorum CTRM

  • No price, licensing model, deployment option cost or contract term is published; there is no pricing page linked from the site
  • The only routes to a figure are a demo request form and a sales contact form

Pricing, plan by plan

Cognite Data Fusion

On request
  • Cognite Data Fusion$undefined/year
    • Consumption-based pricing on data volume, compute and users
    • Available through cloud marketplaces with private offers
    • Contextualisation and onboarding quoted as a separate engagement

Quorum CTRM

On request
  • Trading$undefined/custom
    • Deal capture
    • Position management
    • P&L reporting
  • Risk Management$undefined/custom
    • VaR calculations
    • Stress testing
    • Credit risk
  • Enterprise$undefined/custom
    • Full ETRM suite
    • Multi-commodity
    • Global deployment

Which should you pick?

Choose Cognite Data Fusion if

  • You need asset-centric data model.
  • You work on Web, Cloud.
  • You also want entity matching.
Cognite Data Fusion review

Choose Quorum CTRM if

  • You need deal capture.
  • You work on Web, Desktop, Api.
  • You also want position management.
Quorum CTRM review

Questions people ask

Is Cognite Data Fusion or Quorum CTRM better?
Neither clearly leads. Cognite Data Fusion starts at On request and Quorum CTRM at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Quorum CTRM?
Cognite Data Fusion starts at On request and Quorum CTRM at On request.
Does Cognite Data Fusion or Quorum CTRM run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Quorum CTRM runs on Web, Desktop, Api.
What is Cognite Data Fusion best used for?
Cognite Data Fusion is most often used for an operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one search, a company standardising asset data across sites so an analytics team can build once and deploy to many plants, an upstream operator building a production-optimisation model that needs sensor data joined to equipment metadata, a team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meant. Of those, an operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one search and a company standardising asset data across sites so an analytics team can build once and deploy to many plants are not what Quorum CTRM is typically brought in for.
What can Cognite Data Fusion do that Quorum CTRM cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Quorum CTRM covers Deal capture, Position management, Risk analytics, Credit management.

Answered from the vendors’ own pages

Cognite Data Fusion: Is Cognite a historian?

No. It reads from historians such as PI System and adds context. You still need the historian underneath.

Quorum CTRM: How much does Quorum CTRM cost?

Quorum CTRM does not publish pricing on its website. Customers must request a demo or contact the sales team to receive customized pricing quotes based on their specific needs and usage.

Source
Cognite Data Fusion: How is it priced?

Consumption-based on data, compute and users, quoted per customer. Nothing is published.

Quorum CTRM: Does Quorum offer pricing information online?

No, Quorum Software does not display pricing tiers or cost information on their public website. Pricing is customized and obtained through direct consultation with the sales team.

Source
Cognite Data Fusion: How long does a deployment take?

First useful graph in a few months is realistic; full plant contextualisation across a site is typically a year or more.

Cognite Data Fusion: Can we do the contextualisation ourselves?

Technically yes, the SDKs and matching tools are open, but most customers use Cognite or a partner for the first site.

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