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Energy · head to head

Clean Power Research PowerClerk vs Cognite Data Fusion

Clean Power Research PowerClerk logo

Clean Power Research PowerClerk

Energy

Interconnection and DER program management

From
On request
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Clean Power Research PowerClerk no pricing is published for PowerClerk; the site offers only Request a Demo and Get Demo with no published rate, minimum or cost driver; 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.
  • They diverge on capability: Clean Power Research PowerClerk covers Interconnection workflow, Cognite Data Fusion covers Asset-centric data model.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Clean Power Research PowerClerk and Cognite Data Fusion actually diverge.

Attributes where Clean Power Research PowerClerk and Cognite Data Fusion differ
AttributeClean Power Research PowerClerkCognite Data Fusion
Pricing modelsubscriptionquote
PlatformsWeb, ApiWeb, Cloud
Founded1998Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Energy).

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 Clean Power Research PowerClerk

  • Interconnection workflow
  • Application tracking
  • Technical screening
  • Queue management
  • Customer portal
  • Document management
  • Reporting
  • Program analytics

Only in Cognite Data Fusion

  • Asset-centric data model
  • Entity matching
  • P&ID parsing
  • 3D contextualisation
  • Cognite Atlas AI
  • Data workflows
  • Open SDKs
  • Extractors

What people use each for

The jobs each tool is most often brought in to do.

Clean Power Research PowerClerk

  • Automating distributed energy resource interconnection applications for utilitiesnot Cognite Data Fusion
  • No-code workflow automation for utility customer programmes and rebatesnot Cognite Data Fusion
  • Managing large load and generator connection requestsnot Cognite Data Fusion

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Clean Power Research PowerClerk

  • No pricing is published for PowerClerk; the site offers only Request a Demo and Get Demo with no published rate, minimum or cost driver
  • PowerClerk is one of several separately sold Clean Power Research utility products alongside FleetView, WattPlan and SolarAnywhere
  • The product is marketed to utilities and energy agencies in North and Central America rather than being generally available

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.

Pricing, plan by plan

Clean Power Research PowerClerk

On request
  • Interconnection$undefined/custom
    • Application management
    • Queue management
    • Technical review
  • Incentive Programs$undefined/custom
    • Program management
    • Budget tracking
    • Payment processing
  • Enterprise$undefined/custom
    • Full platform access
    • Custom workflows
    • API integration

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

Which should you pick?

Choose Clean Power Research PowerClerk if

  • You need interconnection workflow.
  • You work on Web, Api.
  • You also want application tracking.
Clean Power Research PowerClerk review

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

Questions people ask

Is Clean Power Research PowerClerk or Cognite Data Fusion better?
Neither clearly leads. Clean Power Research PowerClerk starts at On request and Cognite Data Fusion at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Clean Power Research PowerClerk or Cognite Data Fusion?
Clean Power Research PowerClerk starts at On request and Cognite Data Fusion at On request.
Does Clean Power Research PowerClerk or Cognite Data Fusion run on more platforms?
Clean Power Research PowerClerk runs on Web, Api. Cognite Data Fusion runs on Web, Cloud.
What is Clean Power Research PowerClerk best used for?
Clean Power Research PowerClerk is most often used for automating distributed energy resource interconnection applications for utilities, no-code workflow automation for utility customer programmes and rebates, managing large load and generator connection requests. Of those, automating distributed energy resource interconnection applications for utilities and no-code workflow automation for utility customer programmes and rebates are not what Cognite Data Fusion is typically brought in for.
What can Clean Power Research PowerClerk do that Cognite Data Fusion cannot?
Clean Power Research PowerClerk covers Interconnection workflow, Application tracking, Technical screening, Queue management. Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation.

Answered from the vendors’ own pages

Clean Power Research PowerClerk: How do I purchase PowerClerk?

PowerClerk uses a sales-led model. You can book a meeting with their Utility and Energy Agency Sales team online, or chat with sales during business hours (9-5 PT). No pricing is published on their website.

Source
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.

Clean Power Research PowerClerk: Does PowerClerk offer a trial or free access?

The product pages do not mention a free trial or trial period. PowerClerk is positioned as an enterprise solution for utilities and energy agencies, suggesting custom pricing based on organizational needs.

Source
Cognite Data Fusion: How is it priced?

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

Clean Power Research PowerClerk: What support is available for PowerClerk customers?

PowerClerk includes technical support through the Clean Power Research support center at support.cleanpower.com. The website mentions support for new customers, renewals, and license changes.

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.

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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