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SlateIndex
DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
MotherDuckThe Cloud Data Warehouse Built on DuckDB
Comparison · Data Warehouse · weekly run Nov 3

Databricks vs MotherDuck

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 11.1 for MotherDuck, and ranks ahead in 75% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (37.9 vs 11.1)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose MotherDuck if…

  • AI answers describe it more positively (64% vs 35% positive)
  • You need GDPR coverage
  • lightweight option for local-first data engineering
  • free plan and no credit card required

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks MotherDuck
Visibility score37.9%11.1%
Change vs last weekNewNew
Rank in Data Warehouse#4#9
Share of voice9.3%3.2%
Mentions this run5218
Positive in AI answers35%64%

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 · MotherDuck 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
46.1%
10.9%
AI Mode
35.4%
7.8%
Perplexity
32.2%
14.4%
DatabricksMotherDuck

Head to head in AI answers

8 engine answers name both brands

6Databricks ranked higher
2MotherDuck ranked higher

Features, pricing & fit

DimensionDatabricksMotherDuck
Pricing model—Usage-based
Entry price—Free; paid from $250 / mo
Free plan—Yes
DeploymentAvailable across all major cloud providersManaged cloud service
Integrations—40+
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, GDPR
SupportTechnical support on request, Technical documentationIn-app expert chat, Support engineers in the US and EU, Community access to MotherDuck experts
Founded20132022
HeadquartersSan Francisco, CASeattle, WA, United States
Employees5,000+51–200
FundingRound at $60B valuation, including secondary saleSeries B+ · $100M raised
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesData teams and app developers who want serverless DuckDB analytics with isolated compute for each user, customer or agent.

Plans side by side

Databricks

Pricing not available.

MotherDuck

Lite$0per org / month
Business$250per org / month + usage
EnterpriseCustomcustom
MotherDuck 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

MotherDuck

  • lightweight option for local-first data engineering
  • free plan and no credit card required
  • transparent public pricing with one-second billing minimum
  • simple DuckDB-based option with predictable budget
  • developer-friendly and suitable for early-stage SaaS
  • surprise costs from billing minimums and query mistakes
  • less suited to large enterprise workloads

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Databricks vs MotherDuck”, https://slateindex.ai/compare/databricks-vs-motherduck, data of Nov 3, 2026. Licence: CC BY 4.0.