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Energy · head to head

Bently Nevada System 1 vs Cognite Data Fusion

Bently Nevada System 1 logo

Bently Nevada System 1

Energy

Machinery condition monitoring software for critical rotating equipment protected by Bently Nevada hardware

From
On request
Rated
-
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
-

The short version

  • Each has a real cost: Bently Nevada System 1 system 1 assumes Bently Nevada hardware; connected to third-party protection systems it loses access to the dynamic and transient data that is the entire reason to buy it, so the software choice is really made when the racks are specified.; 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.
  • They diverge on capability: Bently Nevada System 1 covers Turbomachinery plot set, Cognite Data Fusion covers Asset-centric data model.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bently Nevada System 1 and Cognite Data Fusion actually diverge.

Attributes where Bently Nevada System 1 and Cognite Data Fusion differ
AttributeBently Nevada System 1Cognite Data Fusion
PlatformsWindows, Web, On-premiseWeb, 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 Bently Nevada System 1

  • Turbomachinery plot set
  • Transient capture
  • 3500 and Orbit 60 integration
  • Decision support
  • Data diode support
  • Process data correlation

Only in Cognite Data Fusion

  • Asset-centric data model
  • Entity matching
  • P&ID parsing
  • 3D contextualisation
  • Cognite Atlas AI
  • Data workflows
  • Open SDKs
  • Extractors

What people use each for

The jobs each tool is most often brought in to do.

Bently Nevada System 1

  • A refinery with API 670 protected compressor trains needing transient startup data captured and analysed, which general vibration platforms cannot donot Cognite Data Fusion
  • An LNG plant where a single unplanned compressor trip costs more than the entire monitoring programmenot Cognite Data Fusion
  • A power station correlating turbine vibration with process conditions to distinguish a real fault from a load-related responsenot Cognite Data Fusion
  • An offshore operator using remote diagnostics because there is no rotating machinery specialist on the installationnot Cognite Data Fusion

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 Bently Nevada System 1
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Bently Nevada System 1
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Bently Nevada System 1
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Bently Nevada System 1

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Bently Nevada System 1

  • System 1 assumes Bently Nevada hardware; connected to third-party protection systems it loses access to the dynamic and transient data that is the entire reason to buy it, so the software choice is really made when the racks are specified.
  • It is priced by machine train, which makes it appropriate for a dozen critical machines and prohibitively expensive as a plant-wide condition monitoring system for balance-of-plant equipment.
  • Reading the output well needs a rotating machinery specialist; orbit and shaft centreline plots are not self-explanatory, and a site without that skill will either buy the Baker Hughes remote monitoring service or under-use the software.
  • The annual support and upgrade contract is a continuing cost that must be maintained to stay on supported versions, and lapsing it on a system tied to safety-relevant protection hardware is not a realistic saving.
  • Nothing about pricing is published and the product is sold as part of a machinery relationship with Baker Hughes, so competitive tension at renewal is limited once the hardware is installed.

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.

Pricing, plan by plan

Bently Nevada System 1

On request
  • System 1$undefined/year
    • Priced by machine train and connected data source
    • Bently Nevada protection hardware assumed or purchased alongside
    • Annual software support and upgrade contract sold separately

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

Which should you pick?

Choose Bently Nevada System 1 if

  • You need turbomachinery plot set.
  • You work on Windows, Web, On-premise.
  • You also want transient capture.

Choose Cognite Data Fusion if

  • You need asset-centric data model.
  • You work on Web, Cloud.
  • You also want entity matching.

Questions people ask

Is Bently Nevada System 1 or Cognite Data Fusion better?
Neither clearly leads. Bently Nevada System 1 starts at On request and Cognite Data Fusion at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bently Nevada System 1 or Cognite Data Fusion?
Bently Nevada System 1 starts at On request and Cognite Data Fusion at On request.
Does Bently Nevada System 1 or Cognite Data Fusion run on more platforms?
Bently Nevada System 1 runs on Windows, Web, On-premise. Cognite Data Fusion runs on Web, Cloud.
What is Bently Nevada System 1 best used for?
Bently Nevada System 1 is most often used for a refinery with api 670 protected compressor trains needing transient startup data captured and analysed, which general vibration platforms cannot do, an lng plant where a single unplanned compressor trip costs more than the entire monitoring programme, a power station correlating turbine vibration with process conditions to distinguish a real fault from a load-related response, an offshore operator using remote diagnostics because there is no rotating machinery specialist on the installation. Of those, a refinery with api 670 protected compressor trains needing transient startup data captured and analysed, which general vibration platforms cannot do and an lng plant where a single unplanned compressor trip costs more than the entire monitoring programme are not what Cognite Data Fusion is typically brought in for.
What can Bently Nevada System 1 do that Cognite Data Fusion cannot?
Bently Nevada System 1 covers Turbomachinery plot set, Transient capture, 3500 and Orbit 60 integration, Decision support. Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation.

Answered from the vendors’ own pages

Bently Nevada System 1: Do I need Bently Nevada hardware?

Practically, yes. System 1 can take some third-party inputs but the dynamic and transient data that justify it come from 3500 or Orbit 60 racks.

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.

Bently Nevada System 1: Is System 1 suitable for all my plant motors?

No. It is priced and designed for critical machine trains. Balance-of-plant motors are far better served by a general condition monitoring platform.

Cognite Data Fusion: How is it priced?

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

Bently Nevada System 1: What does Orbit 60 add?

A newer protection platform with SIL certification and a built-in data diode, which removes the network security objection to connecting protection systems.

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.

Bently Nevada System 1: Can Baker Hughes monitor the machines for me?

Yes, remote machinery diagnostic services are offered, which is how many sites without an in-house specialist actually consume System 1.

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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