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Apache SupersetOpen source business intelligence from the Apache Software Foundation
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · Business Intelligence · weekly run Nov 2

Apache Superset vs Looker

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 4.3 for Apache Superset, and ranks ahead in 100% of the answers that name both.

Choose Apache Superset if…

  • modern open-source data exploration and visualization platform
  • handles large datasets well
  • strong SQL tooling
  • free and powerful

Choose Looker if…

  • You want the brand AI engines rank higher (29.8 vs 4.3)
  • AI answers describe it more positively (30% vs 25% positive)
  • You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
  • Governed semantic layer and metric consistency

AI visibility side by side

Latest weekly run · Nov 2

Metric Apache Superset Looker
Visibility score4.3%29.8%
Change vs last weekNewNew
Rank in Business Intelligence#19#3
Share of voice1.6%8.1%
Mentions this run842
Positive in AI answers25%30%

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 2Apache Superset 4%

Apache Superset 0pp · Looker 0pp over 0 weekly runs.

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
5%
37.2%
AI Mode
3.1%
28.5%
Perplexity
4.6%
23.5%
Apache SupersetLooker

Head to head in AI answers

4 engine answers name both brands

0Apache Superset ranked higher
4Looker ranked higher

Features, pricing & fit

DimensionApache SupersetLooker
Deployment—Google Cloud
Compliance—SOC 2, ISO 27001, FedRAMP, HIPAA
HeadquartersWilmington, Delaware, United States—
Employees5,000+—
Funding—Series E · $280M raised

Pros and cons

Themes from the AI answers that mention each brand

Apache Superset

  • modern open-source data exploration and visualization platform
  • handles large datasets well
  • strong SQL tooling
  • free and powerful
  • lower licensing costs
  • best suited to teams with technical staff for deployment and SQL

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

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

Cite as: SlateIndex, “Apache Superset vs Looker”, https://slateindex.ai/compare/apache-superset-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.