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Energy · head to head

Cognite Data Fusion vs D-ID

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
D-ID logo

D-ID

AI

AI-powered talking avatar generation

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only D-ID has a free tier, so it costs nothing to try first.
  • 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.; D-ID pricing details are not published on the main pricing page; specific costs for Trial, Lite, Pro, Advanced, or Enterprise plans are not disclosed
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, D-ID covers Photo-to-video.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cognite Data Fusion and D-ID actually diverge.

Attributes where Cognite Data Fusion and D-ID differ
AttributeCognite Data FusionD-ID
Starting priceOn requestFree
Pricing modelquotesubscription
Free tierNoYes
PlatformsWeb, CloudWeb
CategoryEnergyAI
FoundedUnknown2017

Identical on both: 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 D-ID

  • Photo-to-video
  • Talking avatars
  • Voice cloning
  • API access
  • API access
  • ChatGPT integration
  • Web SDK
  • 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 D-ID
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot D-ID
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot D-ID
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot D-ID

D-ID

  • AI video generation with digital avatarsnot Cognite Data Fusion
  • Multilingual video creation in 120+ languagesnot Cognite Data Fusion
  • API-driven video automationnot 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.

D-ID

  • Pricing details are not published on the main pricing page; specific costs for Trial, Lite, Pro, Advanced, or Enterprise plans are not disclosed
  • Multiple pricing sections (Studio vs API) exist but neither displays actual dollar amounts or feature breakdowns
  • Enterprise pricing requires contacting sales directly

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

D-ID

Free

No published plan breakdown. See the D-ID review.

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 D-ID if

  • You need photo-to-video.
  • You want to start without paying.
  • You also want talking avatars.
D-ID review

Questions people ask

Is Cognite Data Fusion or D-ID better?
Neither clearly leads. Cognite Data Fusion starts at On request and D-ID at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or D-ID?
D-ID has a free tier; the other does not. Paid plans start at On request for Cognite Data Fusion and Free for D-ID.
Does Cognite Data Fusion or D-ID run on more platforms?
Cognite Data Fusion runs on Web, Cloud. D-ID runs on Web.
Can I use D-ID for free?
Yes. D-ID has a free tier, so you can try it without paying. Cognite Data Fusion starts at On request.
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 D-ID is typically brought in for.
What can Cognite Data Fusion do that D-ID cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. D-ID covers Photo-to-video, Talking avatars, Voice cloning, API access.

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.

D-ID: How much does D-ID cost?

D-ID pricing is not publicly displayed. The platform offers Trial, Lite, Pro, Advanced, and Enterprise plans, but specific costs are not published. Users must try the free trial or contact sales for pricing information.

Source
Cognite Data Fusion: How is it priced?

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

D-ID: Does D-ID offer a free trial?

Yes, D-ID offers a free trial that users can start at studio.d-id.com. Trial users have access to the platform before committing to a paid plan.

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.

D-ID: What are D-ID's video rendering limits?

D-ID measures usage in minutes for video creation. Minutes deducted from your plan round up to the nearest 15-second interval. Unused minutes do not carry over monthly and are renewed each billing period.

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.

D-ID: Can I upgrade from monthly to annual billing on D-ID?

Yes, D-ID supports both monthly and annual billing options, and users can switch between them anytime. Subscription cancellations remain active through the current billing period.

Source
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