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Energy · head to head

Cognite Data Fusion vs Emerson Ovation

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
Emerson Ovation logo

Emerson Ovation

Energy

Distributed control system for power generation and water treatment plants

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.; Emerson Ovation nothing about the cost is published, and the licence is a minority of the total; engineering, I/O hardware and commissioning commonly exceed it, so a budget built from a software quote will be wrong by a large multiple.
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Emerson Ovation covers Power application libraries.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Emerson Ovation differ
AttributeCognite Data FusionEmerson Ovation
PlatformsWeb, CloudWindows, On-premise

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 Emerson Ovation

  • Power application libraries
  • Ovation SIS
  • Embedded historian
  • NERC CIP tooling
  • Virtualised controllers
  • Simulation

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

Emerson Ovation

  • Replacing an end-of-life control system on a coal or gas unit during a planned outage, where the vendor must supply turbine control as well as plant controlnot Cognite Data Fusion
  • A municipal water authority standardising treatment plant control across several sites under one NERC-adjacent security regimenot Cognite Data Fusion
  • An IPP wanting the DCS and the safety instrumented system engineered in the same tool rather than integrated across two vendorsnot Cognite Data Fusion
  • Hydro operators needing IEC 61850 and DNP3 into a control system that also runs the balance of plantnot 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.

Emerson Ovation

  • Nothing about the cost is published, and the licence is a minority of the total; engineering, I/O hardware and commissioning commonly exceed it, so a budget built from a software quote will be wrong by a large multiple.
  • Ovation is power and water specific, so a group operating both power stations and chemical plants will end up running Ovation alongside DeltaV or a third-party DCS and paying for two engineering skill sets.
  • The annual support and subscription contract is effectively mandatory: without it you lose access to security patches, which for a NERC CIP regulated asset is not a decision you can defer.
  • Replacement is bounded by outage windows rather than by budget, so a decision to leave Ovation typically takes multiple years and cannot be reversed cheaply once started.
  • Third-party engineering capability is much thinner than for Rockwell or Siemens platforms, so you are largely dependent on Emerson or a small partner pool for changes, and their day rates set the cost of every future modification.

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

Emerson Ovation

On request
  • Ovation Automation Platform$undefined/year
    • Priced by controller count, I/O point count and operator workstation
    • Hardware, engineering and commissioning quoted with the software
    • Annual support and subscription contract sold separately

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 Emerson Ovation if

  • You need power application libraries.
  • You work on Windows, On-premise.
  • You also want ovation sis.
Emerson Ovation review

Questions people ask

Is Cognite Data Fusion or Emerson Ovation better?
Neither clearly leads. Cognite Data Fusion starts at On request and Emerson Ovation 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 Emerson Ovation?
Cognite Data Fusion starts at On request and Emerson Ovation at On request.
Does Cognite Data Fusion or Emerson Ovation run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Emerson Ovation runs on Windows, On-premise.
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 Emerson Ovation is typically brought in for.
What can Cognite Data Fusion do that Emerson Ovation cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Emerson Ovation covers Power application libraries, Ovation SIS, Embedded historian, NERC CIP tooling.

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.

Emerson Ovation: Is Ovation the same as DeltaV?

No. Ovation targets power generation and water; DeltaV targets chemicals, life sciences and refining. They are separate products with separate engineering tools and separate support organisations.

Cognite Data Fusion: How is it priced?

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

Emerson Ovation: Can I get a price without talking to Emerson?

No. There is no published price list, no trial and no self-service configurator. Every Ovation number comes through Emerson or a certified partner.

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.

Emerson Ovation: Does Ovation 4.0 mean I can stop buying Emerson hardware?

No. The software-defined architecture virtualises controllers, but the I/O and field interfaces are still Emerson hardware and are still the bulk of the equipment cost.

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.

Emerson Ovation: What decides the price?

Controller count, I/O point count and the number of operator workstations, plus the engineering hours to configure the control logic for your plant.

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