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Energy · head to head

Cognite Data Fusion vs Proxibel Grid Suite

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
Proxibel Grid Suite logo

Proxibel Grid Suite

Energy

Integrated planning and dispatch for power systems

From
On request
Rated
-
Full reviewWebsite

The short version

  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Proxibel Grid Suite covers Network planning.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and Proxibel Grid Suite actually diverge.

Attributes where Cognite Data Fusion and Proxibel Grid Suite differ
AttributeCognite Data FusionProxibel Grid Suite
PlatformsWeb, CloudWeb, Api
FoundedUnknown2018

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 Proxibel Grid Suite

  • Network planning
  • Operational planning
  • Real-time dispatch
  • Optimization algorithms
  • Contingency analysis
  • SSL encryption
  • On-premise deployment
  • Cloud deployment

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 Proxibel Grid Suite
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Proxibel Grid Suite
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Proxibel Grid Suite
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Proxibel Grid Suite

Proxibel Grid Suite

  • Grid planningnot Cognite Data Fusion
  • Real-time dispatchnot 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.

Proxibel Grid Suite

Nothing recorded yet. See the Proxibel Grid Suite 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

Proxibel Grid Suite

On request

No published plan breakdown. See the Proxibel Grid Suite 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.
Cognite Data Fusion review

Choose Proxibel Grid Suite if

  • You need network planning.
  • You work on Web, Api.
  • You also want operational planning.
Proxibel Grid Suite review

Questions people ask

Is Cognite Data Fusion or Proxibel Grid Suite better?
Neither clearly leads. Cognite Data Fusion starts at On request and Proxibel Grid Suite 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 Proxibel Grid Suite?
Cognite Data Fusion starts at On request and Proxibel Grid Suite at On request.
Does Cognite Data Fusion or Proxibel Grid Suite run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Proxibel Grid Suite runs on Web, 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 Proxibel Grid Suite is typically brought in for.
What can Cognite Data Fusion do that Proxibel Grid Suite cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Proxibel Grid Suite covers Network planning, Operational planning, Real-time dispatch, Optimization algorithms.

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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