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Energy · head to head

Cognite Data Fusion vs Cutsforth InsightCM

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
Cutsforth InsightCM logo

Cutsforth InsightCM

Energy

Multi-physics condition monitoring for generators and rotating plant, moved from National Instruments to Cutsforth

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.; Cutsforth InsightCM ownership moved from National Instruments to Cutsforth while NI itself was absorbed by Emerson, so support contracts, documentation and any assumption of NI or Emerson backing need reconfirming from scratch.
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Cutsforth InsightCM covers Multi-physics correlation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Cutsforth InsightCM differ
AttributeCognite Data FusionCutsforth InsightCM
PlatformsWeb, CloudWindows, Web, Cloud

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 Cutsforth InsightCM

  • Multi-physics correlation
  • Continuous waveform capture
  • NI hardware compatibility
  • Electromagnetic interference analysis
  • On-premise or cloud
  • Configurable acquisition
  • Automated alarming
  • Fleet view

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

Cutsforth InsightCM

  • A generating station correlating partial discharge, EMI and vibration on a turbine generator in one diagnosis rather than three separate systemsnot Cognite Data Fusion
  • A nuclear operator needing continuous waveform retention as evidence for a condition-based maintenance casenot Cognite Data Fusion
  • An industrial site with legacy NI acquisition hardware already installed on critical machinesnot Cognite Data Fusion
  • Comparing identical generators across a fleet to separate a machine-specific fault from a design characteristicnot 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.

Cutsforth InsightCM

  • Ownership moved from National Instruments to Cutsforth while NI itself was absorbed by Emerson, so support contracts, documentation and any assumption of NI or Emerson backing need reconfirming from scratch.
  • Cutsforth is a small specialist company, so a buyer standardising a fleet-wide monitoring platform is accepting a vendor with far less scale than Emerson, SKF or Bently Nevada.
  • The product depends on data acquisition hardware on the machine, and that hardware is typically the larger part of the cost, which the software conversation tends to obscure.
  • Its strength is high-value generation and large rotating assets; instrumenting a broad population of ordinary pumps and fans with it is disproportionately expensive.
  • Continuous multi-physics capture produces large volumes of waveform data, so storage sizing and retention policy are real deployment decisions rather than defaults.

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

Cutsforth InsightCM

On request
  • InsightCM$undefined/year
    • Priced per monitored machine and channel count rather than per user
    • Data acquisition hardware quoted separately and often the larger cost
    • On-premise and cloud deployments priced differently

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 Cutsforth InsightCM if

  • You need multi-physics correlation.
  • You work on Windows, Web, Cloud.
  • You also want continuous waveform capture.
Cutsforth InsightCM review

Questions people ask

Is Cognite Data Fusion or Cutsforth InsightCM better?
Neither clearly leads. Cognite Data Fusion starts at On request and Cutsforth InsightCM 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 Cutsforth InsightCM?
Cognite Data Fusion starts at On request and Cutsforth InsightCM at On request.
Does Cognite Data Fusion or Cutsforth InsightCM run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Cutsforth InsightCM runs on Windows, Web, Cloud.
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 Cutsforth InsightCM is typically brought in for.
What can Cognite Data Fusion do that Cutsforth InsightCM cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Cutsforth InsightCM covers Multi-physics correlation, Continuous waveform capture, NI hardware compatibility, Electromagnetic interference analysis.

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.

Cutsforth InsightCM: Is InsightCM still a National Instruments product?

No. It was developed by NI but is now owned and developed by Cutsforth. NI itself became part of Emerson in October 2023.

Cognite Data Fusion: How is it priced?

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

Cutsforth InsightCM: Does it require NI hardware?

It is compatible with NI-based acquisition systems and with Cutsforth monitoring hardware, so existing NI installations carry over.

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.

Cutsforth InsightCM: What makes it different from a vibration platform?

It correlates several measurement types, including partial discharge and electromagnetic interference, which matters on generators rather than on general rotating equipment.

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.

Cutsforth InsightCM: Can it be deployed on-premise?

Yes, on-premise or cloud, which is why it remains viable for nuclear and utility sites with data residency rules.

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