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Business Intelligence · head to head

Grow vs Sigma Computing

Grow logo

Grow

Business Intelligence

No-code BI for growing companies

From
$500/month
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: Grow the pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it; 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: Grow covers No-code Setup, 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 Grow and Sigma Computing actually diverge.

Attributes where Grow and Sigma Computing differ
AttributeGrowSigma Computing
Starting price$500/monthOn request
Pricing modelsubscriptionquote
PlatformsWeb, Mobile, TvWeb
CategoryBusiness IntelligenceSpreadsheets
Founded2014Unknown

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 Grow

  • No-code Setup
  • Unlimited Dashboards
  • Data Blending
  • Alerts
  • Embedding
  • Salesforce
  • HubSpot
  • QuickBooks

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.

Grow

  • No-code dashboards and business intelligence for teams without analystsnot Sigma Computing
  • Blending data from more than 100 sources including BigQuery, PostgreSQL, Salesforce and HubSpotnot Sigma Computing
  • ETL, warehousing and visualisation in a single platformnot Sigma Computing

Sigma Computing

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

Where each one falls short

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

Grow

  • The pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it
  • The only calls to action are Get Started Now and Watch Demo; there is no self-serve rate card
  • The vendor advertises unlimited users with no per-seat charges, which means the price driver is not disclosed at all

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

Grow

$500/month
  • Starter$500/month
    • Unlimited Users
    • 75+ Integrations
    • Support
  • Pro$1000/month
    • Advanced Features
    • Custom Integrations
    • Training

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 Grow if

  • You need no-code setup.
  • You work on Web, Mobile, Tv.
  • You also want unlimited dashboards.
Grow review

Choose Sigma Computing if

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

Questions people ask

Is Grow or Sigma Computing better?
Neither clearly leads. Grow starts at $500/month and Sigma Computing at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Grow or Sigma Computing?
Grow starts at $500/month and Sigma Computing at On request.
Does Grow or Sigma Computing run on more platforms?
Grow runs on Web, Mobile, Tv. Sigma Computing runs on Web.
What is Grow best used for?
Grow is most often used for no-code dashboards and business intelligence for teams without analysts, blending data from more than 100 sources including bigquery, postgresql, salesforce and hubspot, etl, warehousing and visualisation in a single platform. Of those, no-code dashboards and business intelligence for teams without analysts and blending data from more than 100 sources including bigquery, postgresql, salesforce and hubspot are not what Sigma Computing is typically brought in for.
What can Grow do that Sigma Computing cannot?
Grow covers No-code Setup, Unlimited Dashboards, Data Blending, Alerts. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.

Answered from the vendors’ own pages

Grow: How much does Grow cost?

Grow does not publish pricing on their website. They offer a request-a-free-trial model that requires contacting their sales team. Pricing is determined by contacting sales through their contact form or trial request process.

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.

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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