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Business Intelligence · head to head

Hex vs Sigma Computing

Hex logo

Hex

Business Intelligence

AI-powered analytics platform unifying notebooks, dashboards, and business intelligence

From
Free
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

  • Only Hex has a free tier, so it costs nothing to try first.
  • Each has a real cost: Hex pricing based per-seat ($36-$75/editor/month) becomes expensive for large teams; 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: Hex covers Agentic notebooks, 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 Hex and Sigma Computing actually diverge.

Attributes where Hex and Sigma Computing differ
AttributeHexSigma Computing
Starting priceFreeOn request
Pricing modelSeat-based subscription with credit systemquote
Free tierYesNo
PlatformsWeb, SlackWeb
CategoryBusiness IntelligenceSpreadsheets
Founded2019Unknown

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 Hex

  • Agentic notebooks
  • Conversational analytics
  • Data apps
  • Context Studio
  • Data warehouse integration
  • dbt integration
  • Version history
  • Scheduled automation

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.

Hex

  • Deep exploratory analysis by data teams on organizational datasetsnot Sigma Computing
  • Self-serve analytics for business users without SQL knowledgenot Sigma Computing
  • Executive dashboarding and reporting with real-time datanot Sigma Computing
  • Cross-functional data collaboration and insight sharingnot Sigma Computing
  • AI-assisted analysis reducing manual exploration timenot Sigma Computing

Sigma Computing

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

Where each one falls short

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

Hex

  • Pricing based per-seat ($36-$75/editor/month) becomes expensive for large teams
  • Free Community tier limited to small compute and trial AI features
  • Advanced compute adds per-hour fees ($0.32-$4.06/hour), requiring cost monitoring
  • Learning curve for users unfamiliar with SQL or Python notebooks
  • Enterprise features requiring custom quotes lack transparent pricing

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

Hex

Free
  • CommunityFree
    • Hex agent trial
    • Data source connections
    • All cell types
  • Professional$36/month
    • Everything in Community
    • Full Hex agent access
    • Standard credits
  • Team$75/month
    • Everything in Professional
    • Extended credits
    • Unlimited published apps
  • Enterprise$undefined/custom
    • Everything in Team
    • Explorer seat add-ons
    • Audit logs

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 Hex if

  • You need agentic notebooks.
  • You want to start without paying.
  • You work on Web, Slack.
  • You also want conversational analytics.
Hex review

Choose Sigma Computing if

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

Questions people ask

Is Hex or Sigma Computing better?
Neither clearly leads. Hex starts at Free and Sigma Computing at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hex or Sigma Computing?
Hex has a free tier; the other does not. Paid plans start at Free for Hex and On request for Sigma Computing.
Does Hex or Sigma Computing run on more platforms?
Hex runs on Web, Slack. Sigma Computing runs on Web.
Can I use Hex for free?
Yes. Hex has a free tier, so you can try it without paying. Sigma Computing starts at On request.
What is Hex best used for?
Hex is most often used for deep exploratory analysis by data teams on organizational datasets, self-serve analytics for business users without sql knowledge, executive dashboarding and reporting with real-time data, cross-functional data collaboration and insight sharing. Of those, deep exploratory analysis by data teams on organizational datasets and self-serve analytics for business users without sql knowledge are not what Sigma Computing is typically brought in for.
What can Hex do that Sigma Computing cannot?
Hex covers Agentic notebooks, Conversational analytics, Data apps, Context Studio. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.

Answered from the vendors’ own pages

Hex: What is included in the free Community plan?

The Community plan ($0) includes Hex agent trial, data source connections, all cell types, and small compute sizing. It's suitable for prototyping and hobbyist projects.

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.

Hex: How much do advanced compute resources cost?

Advanced compute is billed per minute and ranges from $0.32 to $4.06 per hour depending on resource tier. Monthly credit grants are included in paid plans.

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.

Hex: Can I share analytics with non-Hex users?

Yes. Published apps can be shared publicly. Embedded analytics are available on Enterprise plans for integrating Hex into other applications.

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.

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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