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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
MetabaseOpen source AI analytics you can verify
Comparison · Data Warehouse · weekly run Nov 3

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 score37.9%2%
Change vs last weekNewNew
Rank in Data Warehouse#4#20
Share of voice9.3%1.1%
Mentions this run526
Positive in AI answers35%63%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Databricks 38%

Databricks 0pp · Metabase 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
46.1%
3%
AI Mode
35.4%
0.9%
Perplexity
32.2%
2.2%
DatabricksMetabase

Head to head in AI answers

3 engine answers name both brands

3Databricks ranked higher
0Metabase ranked higher

Features, pricing & fit

DimensionDatabricksMetabase
Pricing model—Per seat
Entry price—Free; paid from $100 per seat / mo
Free plan—Yes
DeploymentAvailable across all major cloud providersSelf-hosted or Metabase Cloud, with air-gapped deployment available on Enterprise
Integrations—237+
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 1, SOC 2 Type II, GDPR, CCPA
SupportTechnical support on request, Technical documentationEmail, Support form, Slack, Microsoft Teams
Founded20132014
HeadquartersSan Francisco, CA—
Employees5,000+51–200
FundingRound at $60B valuation, including secondary saleSeries B · $43M raised
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesTeams 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

Open Source$0free, self-hosted, unlimited users
Starter$100month (5 users included, +$6/user/month)
Pro$575month (10 users included, +$12/user/month)
EnterpriseCustomcustom pricing (starts at $20,000 / year)
Metabase pricing

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.