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Energy · head to head

Cognite Data Fusion vs RunPod

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
RunPod logo

RunPod

AI

GPU cloud for AI and ML

From
$0.2/per-hour
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.; RunPod idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, RunPod covers GPU instances.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and RunPod differ
AttributeCognite Data FusionRunPod
Starting priceOn request$0.2/per-hour
Pricing modelquoteusage-based
PlatformsWeb, CloudCloud, Api
CategoryEnergyAI
FoundedUnknown2022

Identical on both: free tier (No), 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 RunPod

  • GPU instances
  • Serverless
  • Templates
  • Persistent storage
  • Docker
  • REST API
  • SSH access
  • Cloud 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 RunPod
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot RunPod
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot RunPod
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot RunPod

RunPod

  • Renting GPU compute by the second for model training and inferencenot Cognite Data Fusion
  • Running serverless GPU workers that scale with request volumenot Cognite Data Fusion
  • Attaching persistent network storage shared across GPU podsnot 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.

RunPod

  • Idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
  • Reserved clusters of all terms from 1 to 12 months are priced by contacting sales with no published rate
  • L40S, H100 SXM and B200 cluster configurations are listed as contact sales rather than at a published hourly rate
  • High performance network storage costs $0.14 per GB per month, twice the standard sub 1TB rate of $0.07

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

RunPod

$0.2/per-hour
  • Community Cloud$0.2/per-hour
    • Affordable GPUs
    • Spot instances
  • Secure Cloud$0.44/per-hour
    • Enterprise security
    • Dedicated hardware

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 RunPod if

  • You need gpu instances.
  • You work on Cloud, Api.
  • You also want serverless.
RunPod review

Questions people ask

Is Cognite Data Fusion or RunPod better?
Neither clearly leads. Cognite Data Fusion starts at On request and RunPod at $0.2/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or RunPod?
Cognite Data Fusion starts at On request and RunPod at $0.2/per-hour.
Does Cognite Data Fusion or RunPod run on more platforms?
Cognite Data Fusion runs on Web, Cloud. RunPod runs on Cloud, Api.
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 RunPod is typically brought in for.
What can Cognite Data Fusion do that RunPod cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. RunPod covers GPU instances, Serverless, Templates, Persistent storage.

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.

RunPod: What is the pricing model for Runpod GPU compute?

Runpod uses usage-based pricing billed per second rather than fixed subscriptions. GPU pod pricing ranges from $0.27/hour for budget options like RTX A5000 to $7.89/hour for high-end options like B300. Serverless inference is billed based on worker usage.

Source
Cognite Data Fusion: How is it priced?

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

RunPod: Are there minimum contracts or commitments required to use Runpod?

No minimum contracts or commitments are required for on-demand services. Per-second billing is available, and you pay only for what you use. Long-term commitments offer additional savings through reserved capacity options.

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.

RunPod: What are the storage costs on Runpod?

Storage pricing is tiered: Container Disk costs $0.10/GB/month, Volume Disk costs $0.10/GB/month when running or $0.20/GB/month when idle, and Network Storage ranges from $0.05-$0.07/GB/month for standard to $0.14/GB/month for high-performance.

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.

RunPod: Does Runpod charge egress fees for data transfer?

No, Runpod does not charge egress fees when using persistent network storage, which helps reduce data transfer costs for workloads that need to move data in and out frequently.

Source
RunPod: How does Runpod Serverless handle cold starts and idle costs?

Runpod Serverless offers zero idle cost and sub-200ms cold starts via FlashBoot technology. There is no warm-up tax, meaning you don't pay for idle capacity or accept cold-start latency penalties.

Source
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