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Energy · head to head

Cognite Data Fusion vs Cohere

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
Cohere logo

Cohere

Machine Learning

Enterprise AI platform for NLP

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Cohere 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.; Cohere aPI-only service with no self-hosted options for most users
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Cohere covers Generate.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Cohere differ
AttributeCognite Data FusionCohere
Starting priceOn requestFree
Pricing modelquoteusage-based
Free tierNoYes
PlatformsWeb, CloudApi, Cloud
CategoryEnergyMachine Learning
FoundedUnknown2019

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 Cohere

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

Cohere

  • ai tools managementnot Cognite Data Fusion
  • Workflow automationnot Cognite Data Fusion
  • Reportingnot 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.

Cohere

  • API-only service with no self-hosted options for most users
  • Trial tier severely limited at 1,000 calls per month
  • Smaller context window compared to some competing APIs
  • Less emphasis on safety and alignment compared to competing APIs

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

Cohere

Free
  • Free TrialFree
    • Rate limited
    • Evaluation
  • Production$0.4/per-million-tokens
    • Full access
    • SLA

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 Cohere if

  • You need generate.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want embed.
Cohere review

Questions people ask

Is Cognite Data Fusion or Cohere better?
Neither clearly leads. Cognite Data Fusion starts at On request and Cohere at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Cohere?
Cohere has a free tier; the other does not. Paid plans start at On request for Cognite Data Fusion and Free for Cohere.
Does Cognite Data Fusion or Cohere run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Cohere runs on Api, Cloud.
Can I use Cohere for free?
Yes. Cohere 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 Cohere is typically brought in for.
What can Cognite Data Fusion do that Cohere cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Cohere covers Generate, Embed, Rerank, Classify.

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.

Cohere: Does Cohere offer a free tier?

Yes. Cohere provides Trial API keys that allow 1,000 free API calls per month across all models and endpoints. Trial keys are rate-limited to 20 requests per minute for Chat endpoints and 5-10 requests per minute for other endpoints, and cannot be used for production or commercial purposes.

Source
Cognite Data Fusion: How is it priced?

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

Cohere: What is the cost structure for production use?

Cohere uses pay-as-you-go pricing based on tokens consumed. Costs vary by model: Command costs from 0.15 to 2.50 USD per 1M input tokens, with output tokens priced higher. Embed models cost 0.10 USD per 1M input tokens. Production keys have monthly billing with invoices at month-end or when charges reach 250 USD.

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.

Cohere: Can I self-host Cohere models?

No. Cohere operates as an API-only platform. However, enterprise customers can arrange dedicated or managed deployments through the Model Vault platform starting at 4.00 USD per hour with custom pricing for dedicated instances.

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.

Cohere: What are the main differences between Cohere and Claude API?

Cohere excels in cost-effective NLP applications and retrieval-augmented generation (RAG) capabilities. Claude API emphasizes reasoning and safety with Constitutional AI training. Cohere's Command R+ offers similar performance to GPT-4 at 40-50 percent lower cost, while Claude focuses on factual accuracy and transparency.

Source
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