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Spreadsheets · head to head

Sigma Computing vs Snowflake

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
Snowflake logo

Snowflake

Machine Learning

The AI Data Cloud for enterprise data warehousing

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Snowflake has a free tier, so it costs nothing to try first.
  • 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.; Snowflake no flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
  • They diverge on capability: Sigma Computing covers Spreadsheet interface over SQL, Snowflake covers Separated Compute/Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Sigma Computing and Snowflake differ
AttributeSigma ComputingSnowflake
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWebWeb, API
CategorySpreadsheetsMachine Learning
FoundedUnknown2012

Identical on both: 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 Snowflake

  • Separated Compute/Storage
  • Near-zero Maintenance
  • Data Sharing
  • Time Travel
  • Cloning
  • Multi-cluster Warehouse
  • Semi-structured Data
  • dbt

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 Snowflake
  • An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot Snowflake
  • Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot Snowflake
  • Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot Snowflake

Snowflake

  • Cloud data warehousing and SQL analyticsnot Sigma Computing
  • Data engineering and ELT pipelinesnot Sigma Computing
  • Data sharing and marketplacenot Sigma Computing
  • AI/ML workloads via Snowpark and Cortexnot Sigma Computing
  • BI backend for tools such as Tableau and Power BInot 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.

Snowflake

  • No flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
  • Free trial is capped at $400 in credits or 30 days, whichever comes first, not a perpetual free tier
  • During the trial, certain features (external network access, hybrid tables, Openflow) are capped at 10 credits/day until a payment method is added
  • Total cost combines compute credits, storage, and data transfer billed separately

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

Snowflake

Free
  • Standard$undefined/mo
    • Consumption-based, per-credit pricing
  • Enterprise$undefined/mo
    • Consumption-based, per-credit pricing
  • Business Critical$undefined/mo
    • Consumption-based, per-credit pricing
  • Virtual Private Snowflake$undefined/mo
    • Consumption-based, per-credit pricing

Which should you pick?

Choose Sigma Computing if

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

Choose Snowflake if

  • You need separated compute/storage.
  • You want to start without paying.
  • You work on Web, API.
  • You also want near-zero maintenance.
Snowflake review

Questions people ask

Is Sigma Computing or Snowflake better?
Neither clearly leads. Sigma Computing starts at On request and Snowflake at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sigma Computing or Snowflake?
Snowflake has a free tier; the other does not. Paid plans start at On request for Sigma Computing and Free for Snowflake.
Does Sigma Computing or Snowflake run on more platforms?
Sigma Computing runs on Web. Snowflake runs on Web, API.
Can I use Snowflake for free?
Yes. Snowflake has a free tier, so you can try it without paying. Sigma Computing starts at On request.
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 Snowflake is typically brought in for.
What can Sigma Computing do that Snowflake cannot?
Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks. Snowflake covers Separated Compute/Storage, Near-zero Maintenance, Data Sharing, Time Travel.

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.

Snowflake: How is Snowflake priced?

Snowflake uses a consumption based model. Compute is billed in credits and storage is charged monthly on the average amount stored after compression. Capacity can be bought on demand or pre-paid.

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.

Snowflake: What Snowflake editions are there?

Snowflake sells four editions: Standard as the entry level offering, Enterprise for high growth and large scale customers, Business Critical for regulated industries handling sensitive data, and Virtual Private Snowflake for a completely isolated environment.

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.

Snowflake: Does Snowflake publish a per credit price?

Not on its pricing options page. Snowflake directs buyers to its Credit Consumption Table and a pricing calculator for the rates, which vary by edition, region and cloud provider.

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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