LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
RedashRedash helps you make sense of your data
Comparison · Business Intelligence · weekly run Nov 2
Looker vs Redash
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 0 for Redash.
Choose Looker if…
- You want the brand AI engines rank higher (29.8 vs 0)
- You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
Choose Redash if…
- You need a self-hosted or on-premises option
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Looker | Redash |
|---|---|---|
| Visibility score | 29.8% | 0% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #3 | #46 |
| Share of voice | 8.1% | 0% |
| Mentions this run | 42 | 0 |
| Positive in AI answers | 30% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · Redash 0pp over 0 weekly runs.
Engine by engine
Looker leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LookerRedash
Head to head in AI answers
0 engine answers name both brands
0Looker ranked higher
0Redash ranked higher
Features, pricing & fit
| Dimension | Looker | Redash |
|---|---|---|
| Deployment | Google Cloud | Open source self-hosted version plus hosted options |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | — |
| Support | — | Community discussions on GitHub |
| Funding | Series E · $280M raised | Convertible note · $0M raised |
| Best for | — | Teams that want to query many data sources and share dashboards across the company |
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
Redash
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs Redash”, https://slateindex.ai/compare/looker-vs-redash, data of Nov 2, 2026. Licence: CC BY 4.0.