Technology · head to head
Amplitude vs Sigma Computing

Amplitude
Technology
The digital analytics platform to understand your users
- From
- Free
- Rated
- -

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 Amplitude has a free tier, so it costs nothing to try first.
- Each has a real cost: Amplitude metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow; 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: Amplitude covers Event tracking, 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 Amplitude and Sigma Computing actually diverge.
| Attribute | Amplitude | Sigma Computing |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Unknown | quote |
| Free tier | Yes | No |
| Platforms | Web, Ios, Android, Api | Web |
| Category | Technology | Spreadsheets |
| Founded | 2012 | 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 Amplitude
- Event tracking
- User segmentation
- Funnel analysis
- Retention analysis
- Cohort analysis
- A/B testing
- Revenue analytics
- Predictive analytics
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.
Amplitude
- User behavior analysisnot Sigma Computing
- Feature adoption trackingnot Sigma Computing
- Conversion rate optimizationnot Sigma Computing
- Customer journey mappingnot Sigma Computing
- Retention improvementnot Sigma Computing
Sigma Computing
- A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot Amplitude
- An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot Amplitude
- Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot Amplitude
- Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot Amplitude
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amplitude
- Metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow
- The free plan covers 2M events a month
- The Plus plan scales to 70M events, above which pricing is custom
- Growth and Enterprise pricing is not published
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
Amplitude
Free- StarterFree
- 2 million events per month
- Plus$49/month
- $0.049 per MTU
- Up to 300k MTUs
- Advanced analytics
- GrowthFree
- Causal insights
- Feature experimentation
- Real-time streaming
- EnterpriseFree
- Cross-product analysis
- Advanced permissions
- Dedicated account manager
Sigma Computing
On request- Sigma Computing$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 Amplitude if
- You need event tracking.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want user segmentation.
Choose Sigma Computing if
- You need spreadsheet interface over sql.
- You also want no extract layer.
Questions people ask
- Is Amplitude or Sigma Computing better?
- Neither clearly leads. Amplitude 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, Amplitude or Sigma Computing?
- Amplitude has a free tier; the other does not. Paid plans start at Free for Amplitude and On request for Sigma Computing.
- Does Amplitude or Sigma Computing run on more platforms?
- Amplitude runs on Web, Ios, Android, Api. Sigma Computing runs on Web.
- Can I use Amplitude for free?
- Yes. Amplitude has a free tier, so you can try it without paying. Sigma Computing starts at On request.
- What is Amplitude best used for?
- Amplitude is most often used for user behavior analysis, feature adoption tracking, conversion rate optimization, customer journey mapping. Of those, user behavior analysis and feature adoption tracking are not what Sigma Computing is typically brought in for.
- What can Amplitude do that Sigma Computing cannot?
- Amplitude covers Event tracking, User segmentation, Funnel analysis, Retention analysis. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.
Answered from the vendors’ own pages
Amplitude: Does Amplitude have a free plan?
Yes, Amplitude offers a free Starter plan with 2 million events per month and access to the entire platform including analytics, session replay, and experimentation features.
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.
Amplitude: What is Amplitude's pricing based on?
Amplitude's pricing is based on the number of monthly tracked users (MTUs), data volume, and advanced features selected. The Plus plan starts at $49 per month with a rate of $0.049 per MTU.
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.
Amplitude: What analytics features does every Amplitude plan include?
Every plan includes access to the full platform: analytics, session replay, feature experimentation, web experimentation, guides and surveys, activation, and AI tools like AI Feedback and AI Assistant.
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.
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
Other head to heads
- Amplitude vs Mixpanel
- Amplitude vs PostHog
- Amplitude vs Segment
- Amplitude vs Heap
- Amplitude vs Pendo
- Amplitude vs RescueTime
- Amplitude vs Productboard
- Amplitude vs Dashlane
- Amplitude vs Canny
- Amplitude vs LogRocket
- Amplitude vs ClickUp
- Amplitude vs Okta
- Amplitude vs Apache Spark
- Amplitude vs Checkmk
- Amplitude vs Envoy
- Amplitude vs etcd
- Amplitude vs Excalidraw
- Amplitude vs GitHub Desktop
- Amplitude vs Tableau
- Amplitude vs Metabase
- Amplitude vs Looker
- Amplitude vs Equals
- Amplitude vs Redash
- Amplitude vs Apache Superset
- Amplitude vs APITable
- Amplitude vs Coefficient
- Amplitude vs Mathesar
- Amplitude vs SeaTable
- Amplitude vs Numbers
- Amplitude vs Zoho Sheet
- Amplitude vs Cube Software
- Amplitude vs Quadratic
- Amplitude vs Rowy
- Amplitude vs Teable
- Sigma Computing vs Mixpanel
- Sigma Computing vs PostHog
- Sigma Computing vs Segment
- Sigma Computing vs Heap
- Sigma Computing vs Pendo
- Sigma Computing vs RescueTime
- Sigma Computing vs Productboard
- Sigma Computing vs Dashlane
- Sigma Computing vs Canny
- Sigma Computing vs LogRocket
- Sigma Computing vs ClickUp
- Sigma Computing vs Okta
- Sigma Computing vs Apache Spark
- Sigma Computing vs Checkmk
- Sigma Computing vs Envoy
- Sigma Computing vs etcd
- Sigma Computing vs Excalidraw
- Sigma Computing vs GitHub Desktop
- 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
