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Spreadsheets · head to head

Looker vs Sigma Computing

Looker logo

Looker

Spreadsheets

Modern business intelligence platform by Google

From
On request
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Looker no pricing published on website; quote-based model requires contacting Google Cloud sales; 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: Looker covers LookML Data Modeling, 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 Looker and Sigma Computing actually diverge.

Attributes where Looker and Sigma Computing differ
AttributeLookerSigma Computing
Pricing modelUnknownquote
PlatformsWeb, Cloud (Google Cloud Platform)Web
Founded2008Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Spreadsheets).

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 Looker

  • LookML Data Modeling
  • Embedded Analytics
  • API Access
  • Version Control
  • Data Actions
  • BigQuery
  • Snowflake
  • Redshift

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.

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot Sigma Computing
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot Sigma Computing

Sigma Computing

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

Where each one falls short

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

Looker

  • No pricing published on website; quote-based model requires contacting Google Cloud sales
  • Pricing typically based on user count, deployment type, and feature requirements with no transparency

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

Looker

On request

No published plan breakdown. See the Looker review.

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 Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want embedded analytics.
Looker review

Choose Sigma Computing if

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

Questions people ask

Is Looker or Sigma Computing better?
Neither clearly leads. Looker starts at On request and Sigma Computing at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Looker or Sigma Computing?
Looker starts at On request and Sigma Computing at On request.
Does Looker or Sigma Computing run on more platforms?
Looker runs on Web, Cloud (Google Cloud Platform). Sigma Computing runs on Web.
What is Looker best used for?
Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what Sigma Computing is typically brought in for.
What can Looker do that Sigma Computing cannot?
Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.

Answered from the vendors’ own pages

Looker: How much does Looker cost?

Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.

Source
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.

Looker: What are Looker's pricing tiers?

Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.

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.

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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