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Business Intelligence · head to head

IBM Cognos Analytics vs Sigma Computing

IBM Cognos Analytics logo

IBM Cognos Analytics

Business Intelligence

AI-powered business intelligence

From
$15/month
Rated
-
Sigma Computing logo

Sigma Computing

Spreadsheets

Spreadsheet-style analytics that queries a cloud data warehouse directly with no extract layer

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; Sigma Computing every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
  • They diverge on capability: IBM Cognos Analytics covers AI Assistant, Sigma Computing covers Spreadsheet interface over SQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where IBM Cognos Analytics and Sigma Computing differ
AttributeIBM Cognos AnalyticsSigma Computing
Starting price$15/monthOn request
Pricing modelsubscriptionquote
PlatformsWeb, Desktop, Mobile, CloudWeb
CategoryBusiness IntelligenceSpreadsheets
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 Sigma Computing

  • Spreadsheet interface over SQL
  • No extract layer
  • Input tables and write-back
  • Workbooks
  • Embedded analytics
  • Version control and dbt awareness

What people use each for

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

IBM Cognos Analytics

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

Sigma Computing

  • A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot IBM Cognos Analytics
  • An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot IBM Cognos Analytics
  • Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot IBM Cognos Analytics
  • Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot 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

Sigma Computing

  • Every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
  • It cannot work without a supported cloud data warehouse, so an organisation running analytics on an on-premises database or a plain application database has nothing to connect to.
  • Pricing is not published and seats are differentiated by capability, so budgeting requires a sales cycle and a headcount forecast before you can compare it with a tool you could simply buy.
  • Performance is only as good as the warehouse behind it, which means slow or badly modelled tables surface as a slow interface and the fix is a data engineering project, not a Sigma setting.
  • Statistical and scientific visualisation is limited compared with dedicated tools, so anything beyond standard business charting has to be done elsewhere and brought back in.

Pricing, plan by plan

IBM Cognos Analytics

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

Sigma Computing

On request
  • Sigma Computing$undefined/year
    • Quoted per organisation
    • Seat types are differentiated by whether a user views, explores or authors
    • Warehouse compute is billed separately by your cloud data warehouse vendor

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 Sigma Computing if

  • You need spreadsheet interface over sql.
  • You also want no extract layer.

Questions people ask

Is IBM Cognos Analytics or Sigma Computing better?
Neither clearly leads. IBM Cognos Analytics starts at $15/month and Sigma Computing 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 Sigma Computing?
IBM Cognos Analytics starts at $15/month and Sigma Computing at On request.
Does IBM Cognos Analytics or Sigma Computing run on more platforms?
IBM Cognos Analytics runs on Web, Desktop, Mobile, Cloud. Sigma Computing runs on Web.
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 Sigma Computing is typically brought in for.
What can IBM Cognos Analytics do that Sigma Computing cannot?
IBM Cognos Analytics covers AI Assistant, Natural Language Queries, Automated Insights, Story Telling. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.

Answered from the vendors’ own pages

Sigma Computing: Does Sigma store a copy of my data?

No. Queries are executed on your warehouse and results are returned for display, which is why there is no extract refresh to manage.

Sigma Computing: What does it actually cost?

The vendor does not publish prices. Expect an annual contract priced by seat type, plus a warehouse compute increase you should model separately.

Sigma Computing: Can business users break the warehouse?

They can run expensive queries. Warehouse sizing, query limits and materialised tables are the controls, and they need configuring before a wide rollout.

Sigma Computing: Is it a replacement for a modelling layer like dbt?

No. Sigma works best on top of modelled tables and is usually deployed alongside dbt rather than instead of it.

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