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Energy · head to head

Cognite Data Fusion vs Nest

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
Nest logo

Nest

Smart Home

Google's smart home hardware and software ecosystem

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.; Nest pricing not published in support documentation; individual product prices vary significantly
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Nest covers Learning Thermostat.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Nest differ
AttributeCognite Data FusionNest
Pricing modelquoteone-time
PlatformsWeb, CloudHardware, Mobile, Web
CategoryEnergySmart Home
FoundedUnknown2010

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated).

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 Nest

  • Learning Thermostat
  • HD Cameras
  • Smart Alerts
  • Energy Savings
  • Google Home
  • Google Assistant
  • Third-party apps
  • Works with Nest

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

Nest

  • Households already invested in Google Home ecosystem seeking integrated smart thermostat, camera, and door locknot Cognite Data Fusion
  • Users wanting unified control of temperature, security, and entertainment across multiple devicesnot Cognite Data Fusion
  • Organisations deploying Google-based smart building solutions with Nest hardwarenot 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.

Nest

  • Pricing not published in support documentation; individual product prices vary significantly
  • All Nest products require Google Home ecosystem integration for full functionality
  • Smart home devices operate only within the Google Nest ecosystem; limited third-party interoperability
  • Support and product documentation dispersed across Google support rather than centralised Nest site

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

Nest

On request

No published plan breakdown. See the Nest 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 Nest if

  • You need learning thermostat.
  • You work on Hardware, Mobile, Web.
  • You also want hd cameras.
Nest review

Questions people ask

Is Cognite Data Fusion or Nest better?
Neither clearly leads. Cognite Data Fusion starts at On request and Nest 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 Nest?
Cognite Data Fusion starts at On request and Nest at On request.
Does Cognite Data Fusion or Nest run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Nest runs on Hardware, Mobile, Web.
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 Nest is typically brought in for.
What can Cognite Data Fusion do that Nest cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Nest covers Learning Thermostat, HD Cameras, Smart Alerts, Energy Savings.

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.

Nest: Where can I find Google Nest pricing?

Google Nest pricing is available on the Google Store website (store.google.com), but the main category page requires first selecting your region and language. Specific product prices appear on individual product pages after region selection.

Source
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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