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LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
Sigma ComputingThe AI runtime for business
Comparison · Business Intelligence · weekly run Nov 2

Looker vs Sigma Computing

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Looker is the stronger AI pick in Business Intelligence: it has a visibility score of 29.8 versus 8 for Sigma Computing, and ranks ahead in 94% of the answers that name both.

Choose Looker if…

  • You want the brand AI engines rank higher (29.8 vs 8)
  • You need SOC 2 or FedRAMP coverage
  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace

Choose Sigma Computing if…

  • AI answers describe it more positively (39% vs 30% positive)
  • You need SOC 1 Type II or SOC 2 Type II or SOC 3 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS or GDPR or CCPA or EU-US DPF coverage
  • Spreadsheet-like, Excel-style interface on a cloud data warehouse
  • Named among leading BI platforms and shortlists

AI visibility side by side

Latest weekly run · Nov 2

Metric Looker Sigma Computing
Visibility score29.8%8%
Change vs last weekNewNew
Rank in Business Intelligence#3#11
Share of voice8.1%3.4%
Mentions this run4218
Positive in AI answers30%39%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Looker 30%

Looker 0pp · Sigma Computing 0pp over 0 weekly runs.

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
37.2%
10%
AI Mode
28.5%
4.8%
Perplexity
23.5%
9.1%
LookerSigma Computing

Head to head in AI answers

17 engine answers name both brands

16Looker ranked higher
1Sigma Computing ranked higher

Features, pricing & fit

DimensionLookerSigma Computing
DeploymentGoogle CloudCloud-native, queries the customer's cloud data warehouse live
ComplianceSOC 2, ISO 27001, FedRAMP, HIPAASOC 1 Type II, SOC 2 Type II, SOC 3, HIPAA, ISO 27001, ISO 27017, ISO 27018, ISO 27701, PCI DSS, GDPR, CCPA, EU-US DPF
Support—Help Desk, Community, Documentation, Training
Founded—2014
Headquarters—San Francisco, California, US
Employees—501–1,000
FundingSeries E · $280M raisedSeries E
Best for—Business and technical teams that want governed apps, dashboards and agents on live cloud warehouse data, with IT keeping control of security and spend.

Pros and cons

Themes from the AI answers that mention each brand

Looker

  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace
  • Developer-centric data modeling via LookML
  • Around 4.5 out of 5 stars on Gartner Peer Insights
  • Quote-only enterprise pricing starting above $60,000 a year
  • Poor fit for NoSQL-heavy data stacks or standalone embedded needs
  • Less suited to teams using macOS without virtual machines

Sigma Computing

  • Spreadsheet-like, Excel-style interface on a cloud data warehouse
  • Named among leading BI platforms and shortlists
  • Enterprise-style annual custom-quote contracts, often starting at $30,000 or more per year

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Looker vs Sigma Computing”, https://slateindex.ai/compare/looker-vs-sigma-computing, data of Nov 2, 2026. Licence: CC BY 4.0.