BigQuery vs Metabase
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
BigQuery is the stronger AI pick in Data Warehouse: it has a visibility score of 63.6 versus 2 for Metabase, and ranks ahead in 100% of the answers that name both.
Choose BigQuery if…
- You want the brand AI engines rank higher (63.6 vs 2)
- You need SOC 2 or SOC 3 or ISO/IEC 27001 or HIPAA or NIST 800-53 or NIST 800-171 or IRAP or Cyber Essentials coverage
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
Choose Metabase if…
- AI answers describe it more positively (63% vs 41% positive)
- You need SOC 2 Type II or CCPA coverage
- Free open-source edition for self-hosting
- Easy to deploy and user-friendly
AI visibility side by side
Latest weekly run · Nov 3
| Metric | BigQuery | Metabase |
|---|---|---|
| Visibility score | 63.6% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #2 | #20 |
| Share of voice | 12% | 1.1% |
| Mentions this run | 67 | 6 |
| Positive in AI answers | 41% | 63% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
BigQuery 0pp · Metabase 0pp over 0 weekly runs.
Engine by engine
BigQuery leads on 3 of 3 engines
Head to head in AI answers
5 engine answers name both brands
| Prompt | Engine | BigQuery | Metabase |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | ChatGPT | #5 | #7 |
| Top data warehouse options for B2B SaaS companies | ChatGPT | #2 | #12 |
| Best data warehouse for startups | ChatGPT | #1 | #14 |
| Best data warehouse for startups | AI Mode | #1 | #11 |
| Who makes the most used data warehouse? | Perplexity | #4 | #8 |
Features, pricing & fit
| Dimension | BigQuery | Metabase |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $100 per seat / mo |
| Free plan | — | Yes |
| Deployment | Serverless, runs only on Google Cloud | Self-hosted or Metabase Cloud, with air-gapped deployment available on Enterprise |
| Integrations | — | 237+ |
| Compliance | SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials | SOC 1, SOC 2 Type II, GDPR, CCPA |
| Support | — | Email, Support form, Slack, Microsoft Teams |
| Founded | — | 2014 |
| Employees | — | 51–200 |
| Funding | — | Series B · $43M raised |
| Best for | — | Teams that want self-service analytics without relying on engineers, and software companies that need to embed analytics in their product |
Plans side by side
BigQuery
Pricing not available.
Metabase
Pros and cons
Themes from the AI answers that mention each brand
BigQuery
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
- Easy to start with low operational overhead
- Built-in ML and AI capabilities
- Strong fit for Google Cloud-centric teams
- Bills are hard to predict
Metabase
- Free open-source edition for self-hosting
- Easy to deploy and user-friendly
- No-code visual builder and SQL for non-technical users
- Affordable, low-cost BI
- Best default starting point for startups and small teams
- Self-hosting means handling hosting, security, backups and updates yourself
- Extra token-based AI or custom usage fees on top of plans
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “BigQuery vs Metabase”, https://slateindex.ai/compare/bigquery-vs-metabase, data of Nov 3, 2026. Licence: CC BY 4.0.