Databricks vs Metabase
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in Data Warehouse: it has a visibility score of 37.9 versus 2 for Metabase, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (37.9 vs 2)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Metabase if…
- AI answers describe it more positively (63% vs 35% positive)
- You need GDPR 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 | Databricks | Metabase |
|---|---|---|
| Visibility score | 37.9% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #20 |
| Share of voice | 9.3% | 1.1% |
| Mentions this run | 52 | 6 |
| Positive in AI answers | 35% | 63% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Metabase 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Databricks | Metabase |
|---|---|---|---|
| Top data warehouse options for B2B SaaS companies | ChatGPT | #4 | #12 |
| Best data warehouse for startups | ChatGPT | #3 | #14 |
| Who makes the most used data warehouse? | Perplexity | #3 | #8 |
Features, pricing & fit
| Dimension | Databricks | Metabase |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $100 per seat / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Self-hosted or Metabase Cloud, with air-gapped deployment available on Enterprise |
| Integrations | — | 237+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 1, SOC 2 Type II, GDPR, CCPA |
| Support | Technical support on request, Technical documentation | Email, Support form, Slack, Microsoft Teams |
| Founded | 2013 | 2014 |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Series B · $43M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | 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
Databricks
Pricing not available.
Metabase
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
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, “Databricks vs Metabase”, https://slateindex.ai/compare/databricks-vs-metabase, data of Nov 3, 2026. Licence: CC BY 4.0.