LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
UmamiOpen-source web and product analytics
Comparison · Web Analytics · weekly run Nov 2
Looker vs Umami
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Umami is the stronger AI pick in Web Analytics: it has a visibility score of 8.4 versus 1.4 for Looker.
Choose Looker if…
- 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
- Developer-centric data modeling via LookML
Choose Umami if…
- You want the brand AI engines rank higher (8.4 vs 1.4)
- AI answers describe it more positively (67% vs 30% positive)
- Lightweight, open-source, privacy-focused analytics
- Free hosted tier or free self-hosted option
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Looker | Umami |
|---|---|---|
| Visibility score | 1.4% | 8.4% |
| Change vs last week | New | New |
| Rank in Web Analytics | #30 | #11 |
| Share of voice | 0.4% | 2.3% |
| Mentions this run | 2 | 12 |
| Positive in AI answers | 30% | 67% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · Umami 0pp over 0 weekly runs.
Engine by engine
Umami leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LookerUmami
Head to head in AI answers
0 engine answers name both brands
0Looker ranked higher
0Umami ranked higher
Features, pricing & fit
| Dimension | Looker | Umami |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $20 / mo |
| Free plan | — | Yes |
| Deployment | Google Cloud | Self-hosted on your own infrastructure or as Umami Cloud, with US and EU regions |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | — |
| Support | — | Community support, Email support, Email and chat support, Uptime SLA, onboarding assistance and designated support engineer on Enterprise |
| Founded | — | 2022 |
| Headquarters | — | San Francisco, CA, United States |
| Employees | — | 1–10 |
| Funding | Series E · $280M raised | Pre-seed · $2M raised |
| Best for | — | Developers, marketers, agencies, startups and teams that want privacy-first analytics without a cookie banner |
Plans side by side
Looker
Pricing not available.
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
Umami
- Lightweight, open-source, privacy-focused analytics
- Free hosted tier or free self-hosted option
- Affordable and reliable web analytics
- Simple to use for everyday traffic reporting
- Strong choice for self-hosting and control
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs Umami”, https://slateindex.ai/compare/looker-vs-umami, data of Nov 2, 2026. Licence: CC BY 4.0.