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Energy · head to head

Cognite Data Fusion vs IBM Db2

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
IBM Db2 logo

IBM Db2

Databases

The AI-powered database built for demanding enterprise workloads

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only IBM Db2 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.; IBM Db2 cloud-based Db2 is newer than mainframe version; some legacy mainframe features not yet available in cloud
  • They diverge on capability: Cognite Data Fusion covers Asset-centric data model, IBM Db2 covers AI-powered 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 IBM Db2 actually diverge.

Attributes where Cognite Data Fusion and IBM Db2 differ
AttributeCognite Data FusionIBM Db2
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWeb, CloudIBM Cloud, On-premises (mainframe), Linux, UNIX
CategoryEnergyDatabases
FoundedUnknown1983

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 IBM Db2

  • AI-powered Query Optimization
  • Data Virtualization
  • Advanced Compression
  • pureScale Clustering
  • BLU Acceleration
  • Workload Management
  • Federated Queries
  • IBM Cloud

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 IBM Db2
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot IBM Db2
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot IBM Db2
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot IBM Db2

IBM Db2

  • Transaction processingnot Cognite Data Fusion
  • Data storagenot Cognite Data Fusion
  • Application backendnot Cognite Data Fusion
  • Reportingnot Cognite Data Fusion
  • Data analyticsnot 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.

IBM Db2

  • Cloud-based Db2 is newer than mainframe version; some legacy mainframe features not yet available in cloud
  • Pricing complexity with hourly billing for compute and storage can result in unpredictable costs
  • Less community support and documentation compared to open-source alternatives like PostgreSQL
  • Requires IBM expertise and tools for optimal configuration and tuning
  • Migration from mainframe Db2 to cloud Db2 requires careful planning and testing

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

IBM Db2

Free
  • Free TierFree
    • Entry-level exploration
    • Limited resources
  • Standard$99/month
    • Production-ready workloads
    • Shared computing resources
  • Enterprise$969/month
    • Dedicated computing resources
    • Enhanced capabilities

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 IBM Db2 if

  • You need ai-powered query optimization.
  • You want to start without paying.
  • You work on IBM Cloud, On-premises (mainframe), Linux, UNIX.
  • You also want data virtualization.
IBM Db2 review

Questions people ask

Is Cognite Data Fusion or IBM Db2 better?
Neither clearly leads. Cognite Data Fusion starts at On request and IBM Db2 at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cognite Data Fusion or IBM Db2?
IBM Db2 has a free tier; the other does not. Paid plans start at On request for Cognite Data Fusion and Free for IBM Db2.
Does Cognite Data Fusion or IBM Db2 run on more platforms?
Cognite Data Fusion runs on Web, Cloud. IBM Db2 runs on IBM Cloud, On-premises (mainframe), Linux, UNIX.
Can I use IBM Db2 for free?
Yes. IBM Db2 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 IBM Db2 is typically brought in for.
What can Cognite Data Fusion do that IBM Db2 cannot?
Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation. IBM Db2 covers AI-powered Query Optimization, Data Virtualization, Advanced Compression, pureScale Clustering.

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.

IBM Db2: What is IBM Db2?

IBM Db2 is a cloud-based relational database management system designed for enterprise data management. It evolved from IBM's research into relational databases in the 1970s and launched for mainframe systems in 1983.

Source
Cognite Data Fusion: How is it priced?

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

IBM Db2: What are the pricing tiers for IBM Db2 cloud database?

IBM Db2 offers a perpetually free tier for exploration, Standard tier starting at $99/month (billed hourly), and Enterprise tier starting at $969/month (billed hourly). Storage costs $0.000282 per GB per hour across tiers.

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.

IBM Db2: Does Db2 support automatic failover and disaster recovery?

Yes. Db2 includes HADR (High Availability Disaster Recovery) with multizone region support, point-in-time recovery, built-in self-service snapshots, and geo-replicated data recovery backups.

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.

IBM Db2: Can Db2 scale horizontally?

Yes. Db2 supports both vertical and horizontal scaling through its pureScale architecture, allowing it to handle growing data volumes while maintaining performance for mission-critical applications.

Source
IBM Db2: How long has DB2 been in production?

DB2 launched in June 1983 on the MVS operating system and has operated for over 40 years. It remains the foundational database for the largest enterprises globally, managing data for financial, retail, healthcare, and insurance institutions.

Source
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