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Spreadsheets · head to head

Sigma Computing vs Yellowfin

Sigma Computing logo

Sigma Computing

Spreadsheets

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

From
On request
Rated
-
Full reviewWebsite
Yellowfin logo

Yellowfin

Business Intelligence

Action-based business intelligence

From
$50/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Yellowfin the pricing page publishes no rate, no minimum and no per-user price; every model ends in a Get Pricing form
  • They diverge on capability: Sigma Computing covers Spreadsheet interface over SQL, Yellowfin covers Automated Analysis.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Sigma Computing and Yellowfin actually diverge.

Attributes where Sigma Computing and Yellowfin differ
AttributeSigma ComputingYellowfin
Starting priceOn request$50/month
Pricing modelquotesubscription
PlatformsWebWeb, Mobile, Embedded
CategorySpreadsheetsBusiness Intelligence
FoundedUnknown2003

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 Sigma Computing

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

Only in Yellowfin

  • Automated Analysis
  • Data Stories
  • Collaboration
  • Signals
  • Embedded Analytics
  • Salesforce
  • Google Analytics
  • SQL Server

What people use each for

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

Sigma Computing

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

Yellowfin

  • Embedding white-labelled dashboards and analytics into a software productnot Sigma Computing
  • Enterprise reporting with automated business monitoring and alertingnot Sigma Computing
  • Data storytelling and guided natural language querying for business usersnot Sigma Computing

Where each one falls short

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

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.

Yellowfin

  • The pricing page publishes no rate, no minimum and no per-user price; every model ends in a Get Pricing form
  • One of the three embedded models is a revenue share, so Yellowfin takes a cut of the revenue your analytics module earns
  • Another model prices by server core, so scaling deployment hardware raises the licence cost independently of users
  • Getting a quote requires submitting a form with a marketing consent checkbox and a user-count band rather than seeing a rate card

Pricing, plan by plan

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

Yellowfin

$50/month
  • Team$50/month
    • Dashboards
    • Stories
    • Collaboration
  • EnterpriseFree
    • Advanced Features
    • Embedding
    • Custom SLA

Which should you pick?

Choose Sigma Computing if

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

Choose Yellowfin if

  • You need automated analysis.
  • You work on Web, Mobile, Embedded.
  • You also want data stories.
Yellowfin review

Questions people ask

Is Sigma Computing or Yellowfin better?
Neither clearly leads. Sigma Computing starts at On request and Yellowfin at $50/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sigma Computing or Yellowfin?
Sigma Computing starts at On request and Yellowfin at $50/month.
Does Sigma Computing or Yellowfin run on more platforms?
Sigma Computing runs on Web. Yellowfin runs on Web, Mobile, Embedded.
What is Sigma Computing best used for?
Sigma Computing is most often used for a finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting csvs, an organisation that has consolidated on snowflake or databricks and wants one governed access layer rather than several desktop tools, planning and scenario work where users need to type assumptions back into governed tables rather than into a local file, embedding customer-facing analytics into a product where each tenant must only see their own rows. Of those, a finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting csvs and an organisation that has consolidated on snowflake or databricks and wants one governed access layer rather than several desktop tools are not what Yellowfin is typically brought in for.
What can Sigma Computing do that Yellowfin cannot?
Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks. Yellowfin covers Automated Analysis, Data Stories, Collaboration, Signals.

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.

Yellowfin: What pricing models does Yellowfin offer?

Yellowfin offers three flexible models for embedded analytics: Aligned Utility Model (price per unit), Revenue Share Model (based on analytics revenue value), and Server Core (fixed price based on server deployment).

Source
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.

Yellowfin: Is Yellowfin pricing predictable and scalable?

Yes, Yellowfin pricing is simple, predictable and scalable with no hidden costs or surprises.

Source
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.

Yellowfin: Are there limits on user access or development environments?

No limitations exist on access to functionality across users. There are also no limits on dev and test licenses, ensuring DevOps is covered.

Source
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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