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Sigma Computing

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

As of 30 August 2026, Sigma Computing's pricing is not published; the vendor quotes on request. A cloud BI tool with a spreadsheet interface that compiles every action into SQL against Snowflake, Databricks, BigQuery or Redshift. Softwr lists it under Spreadsheets. Sigma Computing is made by Sigma Computing, Inc., available on Web.

Overview

What Sigma Computing does

Sigma Computing presents a familiar grid where business users filter, pivot, add calculated columns and build charts. Each of those actions is translated into SQL and executed on the connected cloud data warehouse, so the data never leaves the warehouse and there is no import step, no extract refresh schedule and no separate storage layer to keep in sync. Workbooks combine tables, pivots, visualisations and input tables, and write-back allows values entered by users to be pushed into warehouse tables for planning and scenario work. The commercial consequence of that architecture is the fact most buyers miss until the second quarter of use. Because every interaction is a live query, warehouse compute is consumed in proportion to how many people use Sigma and how curious they are. The Sigma subscription is only part of the total; the other part arrives on the Snowflake or Databricks invoice and is not controlled by the BI budget holder. Teams that roll Sigma out widely without setting up materialisation, warehouse sizing and query caching discover the cost in credits rather than in seats. The buyer is a mid-market or enterprise analytics team that has already committed to a cloud warehouse and wants business users to explore data without learning SQL or waiting on a modelling queue. The trade-off is that Sigma is worthless without that warehouse. There is no on-premises option, no support for a plain operational database as a primary source in the way the product is designed to be used, and pricing is not published, so evaluation requires a sales conversation before you know whether it is affordable.

What people use it 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

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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.

Cross-shopped

What people choose instead of Sigma Computing

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Sigma Computing logo
    Sigma Computing
    vs
    Looker logo
    Looker

    Looker: Stronger when a governed semantic model defined in code is the priority over spreadsheet-style exploration

  • Sigma Computing logo
    Sigma Computing
    vs
    Tableau logo
    Tableau

    Tableau: Better for visual analysis and for organisations without a cloud data warehouse to sit on

  • Sigma Computing logo
    Sigma Computing
    vs
    Metabase logo
    Metabase

    Metabase: A far cheaper starting point, with a free self-hosted edition, for teams that mostly need questions answered and charts shared

Pricing

What Sigma Computing costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Sigma Computing

On request

  • 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
  • Free trial available without a published price list

Capabilities

Features

  • Spreadsheet interface over SQL

    Filters, pivots and calculated columns are compiled to warehouse SQL rather than run on extracted data

  • No extract layer

    Data stays in the warehouse, so there is no refresh schedule and no second copy to govern

  • Input tables and write-back

    Users can enter values that are written into warehouse tables for planning and what-if analysis

  • Workbooks

    Combine tables, pivots and charts into a shareable document with row-level security applied

  • Embedded analytics

    Workbooks can be embedded into a customer-facing product with per-tenant security

  • Version control and dbt awareness

    Works alongside a modelled warehouse layer rather than replacing it

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

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.

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.

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.

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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Softwr does not host reviews and shows no star rating for Sigma Computing, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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quote

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Open source, no licence fee

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