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Business Intelligence · head to head

IBM Cognos Analytics vs Seeq

IBM Cognos Analytics logo

IBM Cognos Analytics

Business Intelligence

AI-powered business intelligence

From
$15/month
Rated
-
Seeq logo

Seeq

Manufacturing

Self-service analytics for process manufacturing time-series data sitting on top of existing historians

From
On request
Rated
-

The short version

  • Each has a real cost: IBM Cognos Analytics listed on UK G-Cloud at £42.53 per user per month for IBM Cognos Analytics, via reseller Computacenter; Seeq named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.
  • They diverge on capability: IBM Cognos Analytics covers AI Assistant, Seeq covers Query in place.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which IBM Cognos Analytics and Seeq actually diverge.

Attributes where IBM Cognos Analytics and Seeq differ
AttributeIBM Cognos AnalyticsSeeq
Starting price$15/monthOn request
Pricing modelsubscriptionquote
PlatformsWeb, Desktop, Mobile, CloudWeb, Cloud, On-premise, Windows, Linux
CategoryBusiness IntelligenceManufacturing
Founded1911Unknown

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 IBM Cognos Analytics

  • AI Assistant
  • Natural Language Queries
  • Automated Insights
  • Story Telling
  • Mobile Analytics
  • IBM Db2
  • Oracle
  • SQL Server

Only in Seeq

  • Query in place
  • Capsules
  • Asset trees
  • Seeq Data Lab
  • Organizer
  • Multi-source joins

What people use each for

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

IBM Cognos Analytics

  • Self-service analyticsnot Seeq
  • Data explorationnot Seeq
  • Ad-hoc reportingnot Seeq
  • Collaborative analysisnot Seeq
  • Embedded analyticsnot Seeq

Seeq

  • A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot IBM Cognos Analytics
  • A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot IBM Cognos Analytics
  • Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot IBM Cognos Analytics
  • A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot IBM Cognos Analytics

Where each one falls short

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

IBM Cognos Analytics

  • Listed on UK G-Cloud at £42.53 per user per month for IBM Cognos Analytics, via reseller Computacenter

Seeq

  • Named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.
  • Seeq inherits whatever quality exists in the historian, so plants with unstructured tag names and no asset model spend real effort building asset trees in Seeq that should have been fixed upstream.
  • Certain historian connectors are charged separately, so the licence quote and the actual cost of connecting your specific data sources are two different numbers.
  • It is analysis, not control or action; findings still have to be carried into a CMMS or a control change by hand, so value depends on a workflow Seeq does not provide.
  • The product assumes competent process engineers. Organisations without that skill in-house get little from it, because Seeq deliberately does not ship prebuilt failure models the way condition monitoring vendors do.

Pricing, plan by plan

IBM Cognos Analytics

$15/month
  • Standard$15/month
    • Dashboards
    • Reporting
    • AI Insights
  • Plus$35/month
    • Advanced Analytics
    • Planning
    • Premium Support

Seeq

On request
  • Seeq$undefined/year
    • Licensed per named user, not per tag
    • Separate charges for certain historian connectors
    • Cloud-hosted and self-hosted deployments quoted differently

Which should you pick?

Choose IBM Cognos Analytics if

  • You need ai assistant.
  • You work on Web, Desktop, Mobile, Cloud.
  • You also want natural language queries.

Choose Seeq if

  • You need query in place.
  • You work on Web, Cloud, On-premise, Windows, Linux.
  • You also want capsules.

Questions people ask

Is IBM Cognos Analytics or Seeq better?
Neither clearly leads. IBM Cognos Analytics starts at $15/month and Seeq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM Cognos Analytics or Seeq?
IBM Cognos Analytics starts at $15/month and Seeq at On request.
Does IBM Cognos Analytics or Seeq run on more platforms?
IBM Cognos Analytics runs on Web, Desktop, Mobile, Cloud. Seeq runs on Web, Cloud, On-premise, Windows, Linux.
What is IBM Cognos Analytics best used for?
IBM Cognos Analytics is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Seeq is typically brought in for.
What can IBM Cognos Analytics do that Seeq cannot?
IBM Cognos Analytics covers AI Assistant, Natural Language Queries, Automated Insights, Story Telling. Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab.

Answered from the vendors’ own pages

Seeq: Does Seeq store my data?

No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.

Seeq: Who owns Seeq?

It is an independent private company in Seattle, most recently funded by a 2024 growth round led by Sixth Street. It has not been taken over by a private equity buyer.

Seeq: How is it licensed?

Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.

Seeq: Do I need a data scientist?

No, and that is the point. Workbench is aimed at process engineers. Data Lab exists for the minority who want Python.

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