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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
DuckDBSimple, feature-rich, fast and open source analytical SQL database.
Comparison · Data Warehouse · weekly run Nov 3

Databricks vs DuckDB

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 9.9 for DuckDB, and ranks ahead in 63% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (37.9 vs 9.9)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose DuckDB if…

  • AI answers describe it more positively (37% vs 35% positive)
  • Open-source, in-process analytical database
  • Free and excellent for local analytics on small datasets
  • Lightweight, local-first data engineering without massive cloud infrastructure

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks DuckDB
Visibility score37.9%9.9%
Change vs last weekNewNew
Rank in Data Warehouse#4#11
Share of voice9.3%3%
Mentions this run5217
Positive in AI answers35%37%

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 · DuckDB 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
46.1%
8.7%
AI Mode
35.4%
7.8%
Perplexity
32.2%
13.3%
DatabricksDuckDB

Head to head in AI answers

8 engine answers name both brands

5Databricks ranked higher
3DuckDB ranked higher

Features, pricing & fit

DimensionDatabricksDuckDB
DeploymentAvailable across all major cloud providersEmbedded in-process, or client-server via Quack, from edge devices to servers with hundreds of cores
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3—
SupportTechnical support on request, Technical documentationSupport page on duckdb.org, GitHub issues
Founded20132018
HeadquartersSan Francisco, CAAmsterdam, Netherlands
Employees5,000+11–50
FundingRound at $60B valuation, including secondary saleSpinout from CWI
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesDevelopers and data engineers who want a fast analytical SQL engine embedded in an application or run on a laptop, edge device or server

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

DuckDB

  • Open-source, in-process analytical database
  • Free and excellent for local analytics on small datasets
  • Lightweight, local-first data engineering without massive cloud infrastructure
  • Free tier and simple, predictable low-cost plans via MotherDuck
  • Not suited to shared, high-concurrency application databases
  • Less suited to large enterprise workloads

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

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