Business Intelligence · head to head
Glassbox vs Sigma Computing

Sigma Computing
Spreadsheets
Spreadsheet-style analytics that queries a cloud data warehouse directly with no extract layer
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Glassbox no fixed pricing tiers published; custom quotes required based on package, data retention, and session volume; 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: Glassbox covers Session Replay, 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 Glassbox and Sigma Computing actually diverge.
| Attribute | Glassbox | Sigma Computing |
|---|---|---|
| Pricing model | subscription | quote |
| Platforms | Web, Mobile, Hybrid | Web |
| Category | Business Intelligence | Spreadsheets |
| Founded | 2010 | Unknown |
Identical on both: starting price (On request), 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 Glassbox
- Session Replay
- Struggle Detection
- Journey Mapping
- AI Insights
- Voice of Customer
- Adobe Analytics
- Google Analytics
- Salesforce
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.
Glassbox
- User experience analysisnot Sigma Computing
- Bug reproductionnot Sigma Computing
- Conversion optimizationnot Sigma Computing
- Customer journey mappingnot Sigma Computing
- Usability testingnot Sigma Computing
Sigma Computing
- A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot Glassbox
- An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot Glassbox
- Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot Glassbox
- Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot Glassbox
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Glassbox
- No fixed pricing tiers published; custom quotes required based on package, data retention, and session volume
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
Glassbox
On request- CustomFree
- Full Platform
- Mobile Analytics
- Enterprise Support
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 Glassbox if
- You need session replay.
- You work on Web, Mobile, Hybrid.
- You also want struggle detection.
Choose Sigma Computing if
- You need spreadsheet interface over sql.
- You also want no extract layer.
Questions people ask
- Is Glassbox or Sigma Computing better?
- Neither clearly leads. Glassbox 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, Glassbox or Sigma Computing?
- Glassbox starts at On request and Sigma Computing at On request.
- Does Glassbox or Sigma Computing run on more platforms?
- Glassbox runs on Web, Mobile, Hybrid. Sigma Computing runs on Web.
- What is Glassbox best used for?
- Glassbox is most often used for user experience analysis, bug reproduction, conversion optimization, customer journey mapping. Of those, user experience analysis and bug reproduction are not what Sigma Computing is typically brought in for.
- What can Glassbox do that Sigma Computing cannot?
- Glassbox covers Session Replay, Struggle Detection, Journey Mapping, AI Insights. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.
Answered from the vendors’ own pages
Glassbox: How much does Glassbox cost?
Glassbox uses custom pricing based on three factors: the selected package (Production Operation, Marketing/Business, or Product), data retention period, and session volume. The vendor encourages contacting sales to build customized packages.
SourceSigma 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.
Glassbox: Does Glassbox offer add-ons for specific industries?
Yes, Glassbox offers specialized add-on solutions including fraud prevention, accessibility features, and call center solutions tailored for financial organizations.
SourceSigma 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.
Related pages
More on Sigma Computing
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