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Energy · head to head

AutoGrid Flex vs Cognite Data Fusion

A

AutoGrid Flex

Energy

AI-powered distributed energy resource management

From
On request
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: AutoGrid Flex the Internet Archive's capture of AutoGrid's homepage on 30 December 2020 confirmed AutoGrid Flex is listed on AWS Marketplace to simplify procurement, alongside direct sales; no price figure is published on the vendor's own site, only a contact form.; 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.
  • They diverge on capability: AutoGrid Flex covers DER optimization, Cognite Data Fusion covers Asset-centric data model.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which AutoGrid Flex and Cognite Data Fusion actually diverge.

Attributes where AutoGrid Flex and Cognite Data Fusion differ
AttributeAutoGrid FlexCognite Data Fusion
PlatformsWeb, Mobile, ApiWeb, Cloud
Founded2011Unknown

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 AutoGrid Flex

  • DER optimization
  • Virtual power plant
  • Demand response
  • AI forecasting
  • Grid services
  • EV charging management
  • Battery storage optimization
  • Real-time control

Only in Cognite Data Fusion

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

What people use each for

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

AutoGrid Flex

  • Virtual power plantnot Cognite Data Fusion
  • Demand flexibilitynot Cognite Data Fusion
  • Grid balancingnot Cognite Data Fusion
  • DER monetizationnot Cognite Data Fusion

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

Where each one falls short

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

AutoGrid Flex

  • The Internet Archive's capture of AutoGrid's homepage on 30 December 2020 confirmed AutoGrid Flex is listed on AWS Marketplace to simplify procurement, alongside direct sales; no price figure is published on the vendor's own site, only a contact form.

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.

Pricing, plan by plan

AutoGrid Flex

On request

No published plan breakdown. See the AutoGrid Flex review.

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

Which should you pick?

Choose AutoGrid Flex if

  • You need der optimization.
  • You work on Web, Mobile, Api.
  • You also want virtual power plant.
AutoGrid Flex review

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

Questions people ask

Is AutoGrid Flex or Cognite Data Fusion better?
Neither clearly leads. AutoGrid Flex starts at On request and Cognite Data Fusion at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AutoGrid Flex or Cognite Data Fusion?
AutoGrid Flex starts at On request and Cognite Data Fusion at On request.
Does AutoGrid Flex or Cognite Data Fusion run on more platforms?
AutoGrid Flex runs on Web, Mobile, Api. Cognite Data Fusion runs on Web, Cloud.
What is AutoGrid Flex best used for?
AutoGrid Flex is most often used for virtual power plant, demand flexibility, grid balancing, der monetization. Of those, virtual power plant and demand flexibility are not what Cognite Data Fusion is typically brought in for.
What can AutoGrid Flex do that Cognite Data Fusion cannot?
AutoGrid Flex covers DER optimization, Virtual power plant, Demand response, AI forecasting. Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation.

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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