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Energy · head to head

Cognite Data Fusion vs Shone

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
S

Shone

Maritime

AI-powered autonomous shipping technology

From
$3000/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.; Shone shone Automation was acquired by Bedrock Ocean Exploration in April 2022 and the product is no longer sold under the Shone name
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Shone covers Autonomous navigation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Shone differ
AttributeCognite Data FusionShone
Starting priceOn request$3000/month
Pricing modelquotesubscription
PlatformsWeb, CloudMaritime vessels
CategoryEnergyMaritime
FoundedUnknown2017

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 Shone

  • Autonomous navigation
  • Collision avoidance
  • Sensor fusion
  • Decision support
  • Bridge systems
  • ECDIS
  • Radar
  • AIS

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

Shone

No use cases recorded yet. See the Shone 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.

Shone

  • Shone Automation was acquired by Bedrock Ocean Exploration in April 2022 and the product is no longer sold under the Shone name
  • shone.io no longer resolves

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

Shone

$3000/month
  • Professional$8000/month
    • Autonomous navigation
    • Collision avoidance
    • Bridge integration

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 Shone if

  • You need autonomous navigation.
  • You work on Maritime vessels.
  • You also want collision avoidance.
Shone review

Questions people ask

Is Cognite Data Fusion or Shone better?
Neither clearly leads. Cognite Data Fusion starts at On request and Shone at $3000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Shone?
Cognite Data Fusion starts at On request and Shone at $3000/month.
Does Cognite Data Fusion or Shone run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Shone runs on Maritime vessels.
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 Shone is typically brought in for.
What can Cognite Data Fusion do that Shone cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Shone covers Autonomous navigation, Collision avoidance, Sensor fusion, Decision support.

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.

Shone: What does Shone's autonomous technology do?

Shone retrofits ships with autonomous technologies to improve safety, security and crew quality of life. The system provides assistance through situational awareness and course recommendations, which reduces watchkeeper fatigue and helps prevent accidents.

Source
Cognite Data Fusion: How is it priced?

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

Shone: How does Shone detect surrounding vessels?

Shone's proprietary detection algorithm is based on data gathered from ship sensors including AIS, radar and GPS, with additional cameras installed on board for computer vision capabilities.

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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