LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
TabbyOpensource, self-hosted AI coding assistant
Comparison · AI Coding Assistants · weekly run Nov 3
Looker vs Tabby
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 AI Coding Assistants: it has a visibility score of 8.3 versus 0.3 for Tabby, and ranks ahead in 100% of the answers that name both.
Choose Looker if…
- You want the brand AI engines rank higher (8.3 vs 0.3)
- 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 Tabby if…
- AI answers describe it more positively (100% vs 30% positive)
- You need a self-hosted or on-premises option
- privacy and self-hosting
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Looker | Tabby |
|---|---|---|
| Visibility score | 8.3% | 0.3% |
| Change vs last week | New | New |
| Rank in AI Coding Assistants | #11 | #36 |
| Share of voice | 3.2% | 0.2% |
| Mentions this run | 17 | 1 |
| Positive in AI answers | 30% | 100% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · Tabby 0pp over 0 weekly runs.
Engine by engine
Looker leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LookerTabby
Head to head in AI answers
1 engine answers name both brands
1Looker ranked higher
0Tabby ranked higher
| Prompt | Engine | Looker | Tabby |
|---|---|---|---|
| Alternatives to the most popular AI coding assistant | ChatGPT | #5 | #10 |
Features, pricing & fit
| Dimension | Looker | Tabby |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $19 per seat / mo |
| Free plan | — | Yes |
| Deployment | Google Cloud | Self-hosted on-premises or in the cloud, with no external DBMS or cloud services required |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | — |
| Support | — | Community Slack, Email support, Dedicated Slack channel |
| Founded | — | 2023 |
| Headquarters | — | San Francisco, California, United States |
| Employees | — | 11–50 |
| Funding | Series E · $280M raised | Seed · $7M raised |
| Best for | — | Developers and teams who want a self-hosted, open-source alternative to GitHub Copilot and need to keep control of their code and infrastructure. |
Plans side by side
Looker
Pricing not available.
Tabby
Community$0per month, free open source
Team$19per seat per month
EnterpriseCustomcustom, billed annually
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
Tabby
- privacy and self-hosting
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs Tabby”, https://slateindex.ai/compare/looker-vs-tabby, data of Nov 3, 2026. Licence: CC BY 4.0.