LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
n8nFlexible AI workflow automation for technical teams.
Comparison · AI Agents · weekly run Nov 3
Looker vs n8n
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
n8n is the stronger AI pick in AI Agents: it has a visibility score of 22 versus 10.4 for Looker, and ranks ahead in 50% of the answers that name both.
Choose Looker if…
- You need 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 n8n if…
- You want the brand AI engines rank higher (22 vs 10.4)
- AI answers describe it more positively (57% vs 30% positive)
- You need a self-hosted or on-premises option
- You need GDPR coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Looker | n8n |
|---|---|---|
| Visibility score | 10.4% | 22% |
| Change vs last week | New | New |
| Rank in AI Agents | #13 | #5 |
| Share of voice | 2.5% | 4.4% |
| Mentions this run | 17 | 30 |
| Positive in AI answers | 30% | 57% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · n8n 0pp over 0 weekly runs.
Engine by engine
n8n leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Lookern8n
Head to head in AI answers
6 engine answers name both brands
3Looker ranked higher
3n8n ranked higher
| Prompt | Engine | Looker | n8n |
|---|---|---|---|
| How do I choose an AI agent platform for a mid-market team? | ChatGPT | #3 | #9 |
| What should an AI agent platform integrate with? | ChatGPT | #6 | #15 |
| What are the best AI Agents tools in 2026? | Perplexity | #10 | #7 |
| Top AI agent platform options for B2B SaaS companies | ChatGPT | #11 | #8 |
| Compare the leading AI Agents platforms | ChatGPT | #14 | #8 |
| Official website of the top AI agent platform vendors | ChatGPT | #4 | #22 |
Features, pricing & fit
| Dimension | Looker | n8n |
|---|---|---|
| Deployment | Google Cloud | Hosted on n8n Cloud or self-hosted on-prem or with Docker. |
| Integrations | — | 2000+ |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | SOC 2, GDPR |
| Support | — | Forum support on all plans, Email support on Enterprise, Dedicated support with SLA on Enterprise |
| Founded | — | 2019 |
| Headquarters | — | Berlin, Germany |
| Employees | — | 51–200 |
| Funding | Series E · $280M raised | Series C · $240M raised |
| Best for | — | Technical teams that want the flexibility of code with the speed of no-code. |
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
n8n
- Avoids vendor lock-in and offers self-hosting
- Excellent low-code visual workflow automation
- Strong native AI agent and MCP support
- Broad integrations across SaaS apps and APIs
- Free self-hosted edition and affordable cloud plans
- Self-hosting requires technical skill such as Docker or server management
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs n8n”, https://slateindex.ai/compare/looker-vs-n8n, data of Nov 3, 2026. Licence: CC BY 4.0.