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Energy · head to head

Cognite Data Fusion vs Fluence Energy Management

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
Fluence Energy Management logo

Fluence Energy Management

Energy

Battery energy storage system software and services

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.; Fluence Energy Management no published pricing tiers or rate cards available
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Fluence Energy Management covers Battery management.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and Fluence Energy Management actually diverge.

Attributes where Cognite Data Fusion and Fluence Energy Management differ
AttributeCognite Data FusionFluence Energy Management
PlatformsWeb, CloudWeb, Mobile
FoundedUnknown2016

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 Fluence Energy Management

  • Battery management
  • Grid services optimization
  • Performance analytics
  • Remote monitoring
  • Integration management
  • SSL encryption
  • Cloud deployment
  • Web support

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

Fluence Energy Management

  • Automated market bidding for battery energy storage with Mosaicnot Cognite Data Fusion
  • Asset performance management for renewable generation fleets with Nisperanot Cognite Data Fusion
  • Operating grid scale energy storage systemsnot 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.

Fluence Energy Management

  • No published pricing tiers or rate cards available
  • Pricing varies significantly by project requirements and scale

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

Fluence Energy Management

On request

No published plan breakdown. See the Fluence Energy Management 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 Fluence Energy Management if

  • You need battery management.
  • You work on Web, Mobile.
  • You also want grid services optimization.
Fluence Energy Management review

Questions people ask

Is Cognite Data Fusion or Fluence Energy Management better?
Neither clearly leads. Cognite Data Fusion starts at On request and Fluence Energy Management 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 Fluence Energy Management?
Cognite Data Fusion starts at On request and Fluence Energy Management at On request.
Does Cognite Data Fusion or Fluence Energy Management run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Fluence Energy Management runs on Web, Mobile.
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 Fluence Energy Management is typically brought in for.
What can Cognite Data Fusion do that Fluence Energy Management cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Fluence Energy Management covers Battery management, Grid services optimization, Performance analytics, Remote monitoring.

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.

Fluence Energy Management: How is Fluence Energy pricing determined?

Fluence Energy uses a customized, consultative sales model. The company does not publish standard pricing. Instead, they work directly with customers to develop solutions tailored to specific energy network challenges, project scale, and application requirements.

Source
Cognite Data Fusion: How is it priced?

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

Fluence Energy Management: Does Fluence offer standard pricing tiers?

No. Fluence emphasizes a collaborative approach stating 'We are here to collaborate with you to solve the energy challenges in your network.' Products like Smartstack and Gridstack energy storage systems are delivered as turnkey solutions with pricing based on individual project specifications.

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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