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Energy · head to head

Cognite Data Fusion vs Nautilus Labs

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
N

Nautilus Labs

Maritime

AI-powered vessel performance optimization

From
$1000/month
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.; Nautilus Labs limited to maritime shipping industry use case, not applicable for other transportation sectors
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Nautilus Labs covers AI-powered optimization.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Nautilus Labs differ
AttributeCognite Data FusionNautilus Labs
Starting priceOn request$1000/month
Pricing modelquotesubscription
PlatformsWeb, CloudWeb
CategoryEnergyMaritime
FoundedUnknown2016

Identical on both: 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 Nautilus Labs

  • AI-powered optimization
  • Emissions tracking
  • Fuel efficiency
  • Performance benchmarking
  • IoT sensors
  • Vessel data recorders
  • Fleet management
  • 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 Nautilus Labs
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Nautilus Labs
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Nautilus Labs
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Nautilus Labs

Nautilus Labs

No use cases recorded yet. See the Nautilus Labs review.

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.

Nautilus Labs

  • Limited to maritime shipping industry use case, not applicable for other transportation sectors
  • Requires integration with vessel data collection systems for full functionality

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

Nautilus Labs

$1000/month
  • Fleet Platform$3000/month
    • AI optimization
    • Emissions tracking
    • Performance analytics

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 Nautilus Labs if

  • You need ai-powered optimization.
  • You also want emissions tracking.
Nautilus Labs review

Questions people ask

Is Cognite Data Fusion or Nautilus Labs better?
Neither clearly leads. Cognite Data Fusion starts at On request and Nautilus Labs at $1000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Nautilus Labs?
Cognite Data Fusion starts at On request and Nautilus Labs at $1000/month.
Does Cognite Data Fusion or Nautilus Labs run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Nautilus Labs runs on 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 Nautilus Labs is typically brought in for.
What can Cognite Data Fusion do that Nautilus Labs cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Nautilus Labs covers AI-powered optimization, Emissions tracking, Fuel efficiency, Performance benchmarking.

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.

Nautilus Labs: What does Nautilus Labs do?

Nautilus Labs is a maritime AI platform that optimizes vessel performance and reduces emissions through voyage optimization, real-time prediction, and post-voyage analysis. The platform helps shipping operators improve fuel efficiency and meet decarbonization goals.

Source
Cognite Data Fusion: How is it priced?

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

Nautilus Labs: Does Nautilus Labs help with sustainability?

Yes, Nautilus Labs' primary purpose is decarbonization. The platform optimizes ETA, fuel consumption, and CII metrics while providing emission reduction recommendations and vessel maintenance insights to shipping operators.

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.

Nautilus Labs: Who acquired Nautilus Labs?

Danelec, a Copenhagen-based maritime technology company, acquired Nautilus Labs in November 2023. The platform continues to operate and support customers on existing terms.

Source
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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