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Energy · head to head

Cognite Data Fusion vs Readyset

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
Readyset logo

Readyset

Databases

Database caching and optimization that reduces infrastructure costs 30-70%

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Readyset 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.; Readyset pricing requires contacting sales team, making cost planning difficult
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, Readyset covers Automatic Query Optimization.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and Readyset differ
AttributeCognite Data FusionReadyset
Starting priceOn requestFree
Pricing modelquoteMonthly or annual subscription based on cache size
Free tierNoYes
PlatformsWeb, CloudCloud, Self-Hosted
CategoryEnergyDatabases

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 Readyset

  • Automatic Query Optimization
  • SQL-Level Caching
  • Live Incremental Updates
  • Zero-Touch Integration
  • Query Interception
  • AI Query Protection

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

Readyset

  • Reducing database costs for AI workloads with unpredictable query patternsnot Cognite Data Fusion
  • Improving read performance for frequently accessed data without hardware upgradesnot Cognite Data Fusion
  • Protecting databases from performance degradation caused by agentic queriesnot Cognite Data Fusion
  • Scaling read-heavy applications without database scaling costsnot 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.

Readyset

  • Pricing requires contacting sales team, making cost planning difficult
  • Specific pricing tiers not disclosed publicly
  • Requires cache size estimation for cost calculation
  • Limited to read query caching, does not address write performance

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

Readyset

Free
  • CommunityFree
    • Free tier for evaluation
    • 7-day trial available
  • Readyset CloudFree
    • Fully-managed AWS deployment
    • High availability
    • VPC peering support
  • Readyset PrivateFree
    • Self-hosted on your servers
    • Complete control
    • Custom deployment

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 Readyset if

  • You need automatic query optimization.
  • You want to start without paying.
  • You work on Cloud, Self-Hosted.
  • You also want sql-level caching.
Readyset review

Questions people ask

Is Cognite Data Fusion or Readyset better?
Neither clearly leads. Cognite Data Fusion starts at On request and Readyset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or Readyset?
Readyset has a free tier; the other does not. Paid plans start at On request for Cognite Data Fusion and Free for Readyset.
Does Cognite Data Fusion or Readyset run on more platforms?
Cognite Data Fusion runs on Web, Cloud. Readyset runs on Cloud, Self-Hosted.
Can I use Readyset for free?
Yes. Readyset 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 Readyset is typically brought in for.
What can Cognite Data Fusion do that Readyset cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration.

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.

Readyset: Do I need to change my application code?

No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.

Source
Cognite Data Fusion: How is it priced?

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

Readyset: Is there a free trial?

Yes, Readyset offers a free 7-day trial that lets you test different cache sizes 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.

Readyset: How does Readyset pricing work?

Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.

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.

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