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Energy · head to head

Cognite Data Fusion vs SunPower Monitoring

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
SunPower Monitoring logo

SunPower Monitoring

Energy

Solar monitoring and performance management system

From
On request
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.; SunPower Monitoring parent company underwent bankruptcy reorganization in 2024, creating uncertainty about long-term product support
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, SunPower Monitoring covers Real-time monitoring.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Cognite Data Fusion and SunPower Monitoring differ
AttributeCognite Data FusionSunPower Monitoring
Pricing modelquoteUnknown
PlatformsWeb, CloudiOS, Android, Web
FoundedUnknown1985

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 Cognite Data Fusion

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

Only in SunPower Monitoring

  • Real-time monitoring
  • Performance analytics
  • Alert system
  • Mobile app
  • Energy production tracking
  • Tesla
  • Enphase
  • SSL encryption

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

SunPower Monitoring

  • Solar monitoringnot Cognite Data Fusion
  • Performance optimizationnot 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.

SunPower Monitoring

  • Parent company underwent bankruptcy reorganization in 2024, creating uncertainty about long-term product support
  • Monitoring features previously free are now being moved behind premium subscription tiers
  • Limited integration with non-SunPower solar hardware

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

SunPower Monitoring

On request

No published plan breakdown. See the SunPower Monitoring review.

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 SunPower Monitoring if

  • You need real-time monitoring.
  • You work on iOS, Android, Web.
  • You also want performance analytics.
SunPower Monitoring review

Questions people ask

Is Cognite Data Fusion or SunPower Monitoring better?
Neither clearly leads. Cognite Data Fusion starts at On request and SunPower Monitoring at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or SunPower Monitoring?
Cognite Data Fusion starts at On request and SunPower Monitoring at On request.
Does Cognite Data Fusion or SunPower Monitoring run on more platforms?
Cognite Data Fusion runs on Web, Cloud. SunPower Monitoring runs on iOS, Android, Web.
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 SunPower Monitoring is typically brought in for.
What can Cognite Data Fusion do that SunPower Monitoring cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. SunPower Monitoring covers Real-time monitoring, Performance analytics, Alert system, Mobile app.

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.

SunPower Monitoring: What happened to SunPower's monitoring software?

SunPower Corporation filed for bankruptcy on August 5, 2024. Complete Solaria acquired key SunPower assets in September 2024 and continues operations under the SunPower name as a publicly traded company in 2026.

Source
Cognite Data Fusion: How is it priced?

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

SunPower Monitoring: Is the mySunPower app still available?

Yes. The mySunPower app was rebranded to SunStrong Connect after SunStrong acquired SunPower's app suite. The app provides real-time solar production monitoring and battery management.

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.

SunPower Monitoring: What features does SunStrong Connect provide?

SunStrong Connect provides real-time views of solar production, home consumption, and battery power flows. It includes historical performance data, battery controls, live weather data, and system alerts.

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.

SunPower Monitoring: Is SunPower monitoring available for commercial systems?

Yes. SunPower offers Energy Intelligence Software and Monitoring System applications for commercial and utility-scale solar installations with real-time data collection and performance analysis.

Source
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