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Energy · head to head

Cognite Data Fusion vs GE Digital GridOS

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
-
GE Digital GridOS logo

GE Digital GridOS

Energy

Advanced distribution management for the modern grid

From
On request
Rated
-

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.; GE Digital GridOS no pricing plans, tiers, or costs are published on the website
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, GE Digital GridOS covers ADMS.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and GE Digital GridOS actually diverge.

Attributes where Cognite Data Fusion and GE Digital GridOS differ
AttributeCognite Data FusionGE Digital GridOS
PlatformsWeb, CloudWeb, On-premise, Api
FoundedUnknown1892

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 GE Digital GridOS

  • ADMS
  • DERMS
  • Outage management
  • SCADA
  • Volt/VAR optimization
  • FLISR
  • Network modeling
  • Grid analytics

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

GE Digital GridOS

  • Grid modernizationnot Cognite Data Fusion
  • DER integrationnot Cognite Data Fusion
  • Outage restorationnot Cognite Data Fusion
  • Grid optimizationnot Cognite Data Fusion
  • Renewable integrationnot 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.

GE Digital GridOS

  • No pricing plans, tiers, or costs are published on the website
  • Requires direct contact with utility software experts for pricing inquiries

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

GE Digital GridOS

On request
  • ADMS$undefined/custom
    • Distribution management
    • Outage management
    • SCADA integration
  • DERMS$undefined/custom
    • DER management
    • Virtual power plant
    • Grid flexibility
  • Enterprise Suite$undefined/custom
    • Full ADMS + DERMS
    • Analytics platform
    • Digital twin

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 GE Digital GridOS if

  • You need adms.
  • You work on Web, On-premise, Api.
  • You also want derms.

Questions people ask

Is Cognite Data Fusion or GE Digital GridOS better?
Neither clearly leads. Cognite Data Fusion starts at On request and GE Digital GridOS 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 GE Digital GridOS?
Cognite Data Fusion starts at On request and GE Digital GridOS at On request.
Does Cognite Data Fusion or GE Digital GridOS run on more platforms?
Cognite Data Fusion runs on Web, Cloud. GE Digital GridOS runs on Web, On-premise, 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 GE Digital GridOS is typically brought in for.
What can Cognite Data Fusion do that GE Digital GridOS cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. GE Digital GridOS covers ADMS, DERMS, Outage management, SCADA.

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.

GE Digital GridOS: How does GridOS publish pricing information?

GridOS does not disclose pricing on its website. Interested parties are directed to 'Connect with a utility software expert' through a contact form for pricing discussions.

Source
Cognite Data Fusion: How is it priced?

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

GE Digital GridOS: What is GridOS' licensing model?

GridOS' licensing model and pricing details are not published on publicly available pages. Custom quotes are required based on utility software implementation needs.

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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