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Business Intelligence (BI) Software · Rank #5 of 10

Sigma

Modern cloud-native BI built on Snowflake.

By Sigma Computing · Founded 2014 · San Francisco, CA · private

Sigma is the modern cloud-native BI built on Snowflake (and Databricks, BigQuery, Redshift). The product's strength is the spreadsheet-friendly UX, non-technical users can explore data with Excel-style formulas while data lives natively in the warehouse. Built for orgs already on Snowflake. Trade-offs: best-fit narrowed to cloud data warehouse users, pricing requires sales engagement at higher tiers.

Visit Sigma Compare to Metabase
Best for

Cloud data warehouse-anchored organizations (Snowflake, BigQuery, Databricks) wanting spreadsheet-friendly BI.

Worst for

Non-cloud-warehouse orgs (Tableau/Power BI better), open-source-leaning teams (Metabase wins), or budget-conscious SMBs.

Vendor Trust Score

Is Sigma a trustworthy vendor?

7.9/10
Mixed
Pricing transparency
Published rates; no hidden fees
5.5
Contract fairness
Reasonable terms; no auto-renew traps
7.5
Incident response
How they handle outages and breaches
8.5
Post-acquisition behavior
Customer treatment after M&A or PE
9.0
Executive stability
Leadership churn over 24 months
8.5
Roadmap honesty
Public commitments held
8.5
Trust signal log
  • 2024-08-15
    Series F funding round; financial stability
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 240 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • Cloud-native architecture on Snowflake
    84% →
  • Spreadsheet-friendly UX
    71% →
  • Modern collaboration features
    51% →

Complaint patterns

  • Best-fit narrowed to cloud DWH users
    51% →
  • Pricing requires sales engagement
    47% →
  • Smaller integration ecosystem
    38% →
Sentiment trend (6 months)
89/100 +2 pts
11
12
01
02
03
04
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

78 anonymized deal disclosures · last updated 2026-04-30

Contribute your deal price
Company size Median annual
50-200 users $36,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-04-15
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP

Editorial: Strengths

  • Cloud-native architecture on Snowflake/Databricks
  • Spreadsheet-friendly UX for non-technical users
  • Made for orgs already on Snowflake
  • Modern collaboration features
  • Strong embedded analytics

Editorial: Weaknesses

  • Best-fit narrowed to cloud data warehouse users
  • Pricing requires sales engagement at higher tiers
  • Smaller integration ecosystem than Power BI
  • Brand recognition lower than Tableau

Key features & integrations

  • +Cloud data warehouse native
  • +Spreadsheet-style formulas
  • +Collaboration features
  • +Embedded analytics
  • +Sigma AI assistant
  • +API for custom workflows
  • +Data writeback
100+ integrations
SnowflakeDatabricksBigQueryRedshift
Geography supported
Global
Best fit
50–5,000 employees · Cloud data warehouse-anchored organizations
Editorial deep-dive

Read our full ranking of Business Intelligence (BI) Software

Sigma ranks #5 in our editorial review of 10 business intelligence (bi) software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

Closest alternatives in Business Intelligence (BI) Software

#4
Metabase
Open-source BI for engineering-led teams.
★ 4.5 public
#6
ThoughtSpot
Search-driven AI BI.
★ 4.5 opaque
#3
Looker
Google Cloud / BigQuery anchored enterprise BI.
★ 4.4 opaque
Help the next buyer

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Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for Sigma; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).

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