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Energy · head to head

Cognite Data Fusion vs SAP for Utilities

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
-
SAP for Utilities logo

SAP for Utilities

Energy

End-to-end utility management and digital transformation

From
On request
Rated
-

The short version

  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, SAP for Utilities covers Customer relationship management.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and SAP for Utilities actually diverge.

Attributes where Cognite Data Fusion and SAP for Utilities differ
AttributeCognite Data FusionSAP for Utilities
PlatformsWeb, CloudWeb, Mobile, Api
FoundedUnknown1972

Identical on both: starting price (On request), pricing model (quote), 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 SAP for Utilities

  • Customer relationship management
  • Meter-to-cash processing
  • Device management
  • Energy data management
  • Asset lifecycle management
  • Work and service management
  • Financial accounting
  • Analytics and 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 SAP for Utilities
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot SAP for Utilities
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot SAP for Utilities
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot SAP for Utilities

SAP for Utilities

  • Digital transformationnot Cognite Data Fusion
  • Customer billingnot Cognite Data Fusion
  • Asset managementnot Cognite Data Fusion
  • Grid modernizationnot 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.

SAP for Utilities

Nothing recorded yet. See the SAP for Utilities review.

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

SAP for Utilities

On request

No published plan breakdown. See the SAP for Utilities review.

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.

Choose SAP for Utilities if

  • You need customer relationship management.
  • You work on Web, Mobile, Api.
  • You also want meter-to-cash processing.

Questions people ask

Is Cognite Data Fusion or SAP for Utilities better?
Neither clearly leads. Cognite Data Fusion starts at On request and SAP for Utilities 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 SAP for Utilities?
Cognite Data Fusion starts at On request and SAP for Utilities at On request.
Does Cognite Data Fusion or SAP for Utilities run on more platforms?
Cognite Data Fusion runs on Web, Cloud. SAP for Utilities runs on Web, Mobile, 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 SAP for Utilities is typically brought in for.
What can Cognite Data Fusion do that SAP for Utilities cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. SAP for Utilities covers Customer relationship management, Meter-to-cash processing, Device management, Energy data 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.

Cognite Data Fusion: How is it priced?

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

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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