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Energy · head to head

Cognite Data Fusion vs ElevenLabs

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
ElevenLabs logo

ElevenLabs

AI

AI voice generation and cloning platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only ElevenLabs 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.; ElevenLabs number pronunciation errors: '200000' reads as 'twenty thousand thousand' instead of '200,000'
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, ElevenLabs covers Text-to-speech.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and ElevenLabs differ
AttributeCognite Data FusionElevenLabs
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWeb, CloudWeb, Api
CategoryEnergyAI
FoundedUnknown2022

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 ElevenLabs

  • Text-to-speech
  • Voice cloning
  • 29 languages
  • Emotion control
  • API access
  • Speech-to-speech
  • Dubbing
  • 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 ElevenLabs
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot ElevenLabs
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot ElevenLabs
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot ElevenLabs

ElevenLabs

  • 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.

ElevenLabs

  • Number pronunciation errors: '200000' reads as 'twenty thousand thousand' instead of '200,000'
  • Voice cloning requires professional-grade audio quality; no upfront guidance on technical requirements
  • Email-only support with 5-14 day response times for complex issues; no phone support
  • Pricing unpredictability: actual usage often exceeds advertised estimates due to regenerations needed for quality

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

ElevenLabs

Free
  • FreeFree
    • 10,000 characters/month
    • 3 custom voices
    • Text-to-speech, speech-to-text access
  • Starter$5/month
    • 30,000 characters/month
    • Commercial license
    • Instant voice cloning
  • Creator$22/month
    • 121,000 characters/month
    • Professional voice cloning
    • Dubbing studio access
  • Pro$99/month
    • 600,000 characters/month
    • Unlimited voice cloning
    • 60-minute extended audio generation

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 ElevenLabs if

  • You need text-to-speech.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want voice cloning.
ElevenLabs review

Questions people ask

Is Cognite Data Fusion or ElevenLabs better?
Neither clearly leads. Cognite Data Fusion starts at On request and ElevenLabs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or ElevenLabs?
ElevenLabs has a free tier; the other does not. Paid plans start at On request for Cognite Data Fusion and Free for ElevenLabs.
Does Cognite Data Fusion or ElevenLabs run on more platforms?
Cognite Data Fusion runs on Web, Cloud. ElevenLabs runs on Web, Api.
Can I use ElevenLabs for free?
Yes. ElevenLabs 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 ElevenLabs is typically brought in for.
What can Cognite Data Fusion do that ElevenLabs cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. ElevenLabs covers Text-to-speech, Voice cloning, 29 languages, Emotion control.

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.

ElevenLabs: Does the free plan include commercial usage rights?

No. The free plan provides 10,000 characters monthly and access to 3 custom voices, but excludes commercial license. Commercial usage rights are only available on paid Starter plan ($5/month) and above.

Source
Cognite Data Fusion: How is it priced?

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

ElevenLabs: How many languages does ElevenLabs support?

ElevenLabs supports voice generation in 32+ languages. Professional Voice Cloning (PVC) allows you to create a digital replica of your voice that works across these 32+ languages while maintaining emotional register and prosody.

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.

ElevenLabs: What are the requirements for voice cloning?

Professional voice cloning requires high-quality audio with RMS between -23dB to -18dB, no background noise, consistent microphone distance, and proper compression. Without meeting these technical requirements, the cloned voice sounds robotic or distorted. ElevenLabs does not disclose these requirements upfront.

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.

ElevenLabs: How is pricing calculated?

ElevenLabs uses a credit-based system where monthly character limits determine your plan. Free plan has 10,000 characters/month. Starter tier ($5/month) provides 30,000 characters. Creator ($22/month) includes 121,000 credits. Annual billing offers approximately 17% savings (2 free months equivalent).

Source
ElevenLabs: What happens if I exceed my monthly character limit?

Exceeding your monthly quota requires upgrading to a higher plan. Users report pricing unpredictability, with actual usage averaging 220-280 credits per 1,000 characters when accounting for regenerations, often exceeding advertised usage estimates.

Source
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