Business Intelligence · head to head
ChartMogul 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
- Only ChartMogul has a free tier, so it costs nothing to try first.
- Each has a real cost: ChartMogul the free tier stops at $10K MRR, so it lapses precisely as a company starts to matter; 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: ChartMogul covers MRR Analytics, 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 ChartMogul and Sigma Computing actually diverge.
| Attribute | ChartMogul | Sigma Computing |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | subscription | quote |
| Free tier | Yes | No |
| Platforms | Web, Api | Web |
| Category | Business Intelligence | Spreadsheets |
| Founded | 2014 | Unknown |
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 ChartMogul
- MRR Analytics
- Churn Analysis
- Cohort Analysis
- Customer Segmentation
- Revenue Recognition
- Stripe
- Chargebee
- Recurly
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.
ChartMogul
- MRR trackingnot Sigma Computing
- Churn analysisnot Sigma Computing
- Revenue analyticsnot Sigma Computing
- Subscription metricsnot Sigma Computing
- Financial forecastingnot Sigma Computing
Sigma Computing
- A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot ChartMogul
- An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot ChartMogul
- Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot ChartMogul
- Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot ChartMogul
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ChartMogul
- The free tier stops at $10K MRR, so it lapses precisely as a company starts to matter
- Starter is capped at 3 team members and a single billing system connection
- Two-way CRM sync and warehouse integration require the Pro tier
- Pricing scales with your ARR rather than with usage, so the bill rises as the business grows
- Enterprise starts at $19,900 a year and is required above $10M ARR
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
ChartMogul
Free- FreeFree
- Up to $120K ARR tracked
- 1 billing source
- Unlimited team members
- Starter$59/month
- $59-$707/month based on ARR
- Up to $10M ARR tracked
- 1 billing source
- Pro$99/month
- $99-$1,199/month based on ARR
- Up to $10M ARR tracked
- 5 billing sources
- Enterprise$19900/year
- Custom pricing available
- Unlimited ARR tracked
- 15 billing sources
Sigma Computing
On request- Sigma Computing$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 ChartMogul if
- You need mrr analytics.
- You want to start without paying.
- You work on Web, Api.
- You also want churn analysis.
Choose Sigma Computing if
- You need spreadsheet interface over sql.
- You also want no extract layer.
Questions people ask
- Is ChartMogul or Sigma Computing better?
- Neither clearly leads. ChartMogul 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, ChartMogul or Sigma Computing?
- ChartMogul has a free tier; the other does not. Paid plans start at Free for ChartMogul and On request for Sigma Computing.
- Does ChartMogul or Sigma Computing run on more platforms?
- ChartMogul runs on Web, Api. Sigma Computing runs on Web.
- Can I use ChartMogul for free?
- Yes. ChartMogul has a free tier, so you can try it without paying. Sigma Computing starts at On request.
- What is ChartMogul best used for?
- ChartMogul is most often used for mrr tracking, churn analysis, revenue analytics, subscription metrics. Of those, mrr tracking and churn analysis are not what Sigma Computing is typically brought in for.
- What can ChartMogul do that Sigma Computing cannot?
- ChartMogul covers MRR Analytics, Churn Analysis, Cohort Analysis, Customer Segmentation. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.
Answered from the vendors’ own pages
ChartMogul: How much does ChartMogul cost for a small SaaS startup?
ChartMogul offers a free plan for companies with up to $120K ARR. Starter plans begin at $59 per month for smaller ARR amounts and scale up to $707 per month, with a 17% discount available for annual commitments. Source: https://chartmogul.com/pricing
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.
ChartMogul: What are the team member limits on ChartMogul plans?
The Free and Pro plans include unlimited team members, while the Starter plan is limited to 3 team members. Enterprise plans offer unlimited users with custom pricing. Source: https://chartmogul.com/pricing
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.
ChartMogul: How many billing sources can each ChartMogul plan integrate?
Free and Starter plans support 1 billing source each. Pro plans increase to 5 billing sources. Enterprise plans support 15 billing sources with custom pricing and unlimited integration capabilities. Source: https://chartmogul.com/pricing
SourceSigma 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.
ChartMogul: Does ChartMogul offer an annual payment discount?
Yes, ChartMogul provides a 17% discount when paying annually instead of monthly on Starter and Pro plans. Enterprise customers can discuss custom annual pricing with the sales team. Source: https://chartmogul.com/pricing
SourceSigma 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
Other head to heads
- ChartMogul vs Power BI
- ChartMogul vs Sisense
- ChartMogul vs Amazon QuickSight
- ChartMogul vs MicroStrategy
- ChartMogul vs Baremetrics
- ChartMogul vs ProfitWell
- ChartMogul vs Luzmo
- ChartMogul vs Databox
- ChartMogul vs Geckoboard
- ChartMogul vs Glassbox
- ChartMogul vs Grow
- ChartMogul vs Quantum Metric
- ChartMogul vs Quid
- ChartMogul vs Reportz
- ChartMogul vs Rill Data
- ChartMogul vs SAP BusinessObjects
- ChartMogul vs Tableau
- ChartMogul vs Metabase
- ChartMogul vs Looker
- ChartMogul vs Equals
- ChartMogul vs Redash
- ChartMogul vs Apache Superset
- ChartMogul vs APITable
- ChartMogul vs Coefficient
- ChartMogul vs Mathesar
- ChartMogul vs SeaTable
- ChartMogul vs Numbers
- ChartMogul vs Zoho Sheet
- ChartMogul vs Cube Software
- ChartMogul vs Quadratic
- ChartMogul vs Rowy
- ChartMogul vs Teable
- Sigma Computing vs Power BI
- Sigma Computing vs Sisense
- Sigma Computing vs Amazon QuickSight
- Sigma Computing vs MicroStrategy
- Sigma Computing vs Baremetrics
- Sigma Computing vs ProfitWell
- Sigma Computing vs Luzmo
- Sigma Computing vs Databox
- Sigma Computing vs Geckoboard
- Sigma Computing vs Glassbox
- Sigma Computing vs Grow
- Sigma Computing vs Quantum Metric
- Sigma Computing vs Quid
- Sigma Computing vs Reportz
- Sigma Computing vs Rill Data
- Sigma Computing vs SAP BusinessObjects
- Sigma Computing vs Tableau
- Sigma Computing vs Metabase
- Sigma Computing vs Looker
- Sigma Computing vs Equals
- Sigma Computing vs Redash
- Sigma Computing vs Apache Superset
- Sigma Computing vs APITable
- Sigma Computing vs Coefficient
- Sigma Computing vs Mathesar
- Sigma Computing vs SeaTable
- Sigma Computing vs Numbers
- Sigma Computing vs Zoho Sheet
- Sigma Computing vs Cube Software
- Sigma Computing vs Quadratic
- Sigma Computing vs Rowy
- Sigma Computing vs Teable

