Sigma Computingvs
Looker


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

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
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.
The honest half
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.
Cross-shopped
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.


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


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


Metabase: A far cheaper starting point, with a free self-hosted edition, for teams that mostly need questions answered and charts shared
Pricing
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Sigma Computing
On request
Capabilities
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
Each answer names the page it came from, so you can check it rather than take our word for it.
No. Queries are executed on your warehouse and results are returned for display, which is why there is no extract refresh to manage.
The vendor does not publish prices. Expect an annual contract priced by seat type, plus a warehouse compute increase you should model separately.
They can run expensive queries. Warehouse sizing, query limits and materialised tables are the controls, and they need configuring before a wide rollout.
No. Sigma works best on top of modelled tables and is usually deployed alongside dbt rather than instead of it.
Keep looking
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FP&A layer that connects Excel and Google Sheets to source systems without asking finance to leave the spreadsheet
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Spreadsheet interface over real PostgreSQL tables, so the data stays queryable by anything that speaks SQL
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German-hosted database-spreadsheet hybrid from the team behind Seafile, with a self-hosted server edition
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.
What people switch to, and what they give up
Every tier, and where the cost actually lands
Put it head to head with anything we hold
Its rating, and an embed for your own site
Free standalone cloud spreadsheet from Zoho, also bundled into the low-cost Zoho Workplace suite
Free standalone, bundled into paid Zoho Workplace for organisationsApple spreadsheet, free on Apple hardware, now with an optional Apple Creator Studio subscription for AI features
Free with Apple hardware, optional Apple Creator Studio subscription for AI featuresCloud spreadsheet, free for a personal Google account and bundled into paid Google Workspace for organisations
Free personally, bundled into paid Google Workspace for organisationsFP&A layer that connects Excel and Google Sheets to source systems without asking finance to leave the spreadsheet
quoteSpreadsheet interface over real PostgreSQL tables, so the data stays queryable by anything that speaks SQL
Open source, no licence feeA real spreadsheet with SQL result sets landing in its cells, now sold only on annual contracts starting at 24,000 USD
Per year by connector count and refresh frequencyInfinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid
Per user per monthSpreadsheet style interface that edits an existing PostgreSQL database directly, with no schema of its own
Open source, no licence fee