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dbtDeliver trusted data with dbt
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DuckDBSimple, feature-rich, fast and open source analytical SQL database.
Comparison · Data Warehouse · weekly run Nov 3

dbt vs DuckDB

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

DuckDB is the stronger AI pick in Data Warehouse: it has a visibility score of 9.9 versus 6.5 for dbt, and ranks ahead in 80% of the answers that name both.

Choose dbt if…

  • You need a self-hosted or on-premises option
  • You need SOC 2 Type II or ISO 27001:2022 or ISO 27017:2015 or ISO 27018:2025 or ISO 27701:2019 or ISO 42001:2023 or GDPR or CCPA coverage
  • Excellent tool for modern data warehousing
  • Cleans and models raw data into analytics-ready tables

Choose DuckDB if…

  • You want the brand AI engines rank higher (9.9 vs 6.5)
  • AI answers describe it more positively (37% vs 0% positive)
  • Open-source, in-process analytical database
  • Free and excellent for local analytics on small datasets

AI visibility side by side

Latest weekly run · Nov 3

Metric dbt DuckDB
Visibility score6.5%9.9%
Change vs last weekNewNew
Rank in Data Warehouse#14#11
Share of voice2.3%3%
Mentions this run1317
Positive in AI answers0%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 3dbt 7%

dbt 0pp · DuckDB 0pp over 0 weekly runs.

Engine by engine

DuckDB leads on 3 of 3 engines

ChatGPT
4.6%
8.7%
AI Mode
7.8%
7.8%
Perplexity
7%
13.3%
dbtDuckDB

Head to head in AI answers

5 engine answers name both brands

1dbt ranked higher
4DuckDB ranked higher

Features, pricing & fit

DimensiondbtDuckDB
Pricing modelPer seat—
Entry priceFree; paid from $100 per seat / mo—
Free planYes—
DeploymentCloud platform, with self-hosted dbt Core and hybrid projects run in the customer's own environment.Embedded in-process, or client-server via Quack, from edge devices to servers with hundreds of cores
ComplianceSOC 2 Type II, ISO 27001:2022, ISO 27017:2015, ISO 27018:2025, ISO 27701:2019, ISO 42001:2023, GDPR, CCPA—
SupportDocumentation, online learning and community, 24x5 support, Priority support with enhanced SLA, Dedicated account managementSupport page on duckdb.org, GitHub issues
Founded—2018
Headquarters—Amsterdam, Netherlands
Employees—11–50
FundingSeries D · $414M raisedSpinout from CWI
Best forData teams that build SQL-based data transformations and want them tested, version-controlled and governed.Developers and data engineers who want a fast analytical SQL engine embedded in an application or run on a laptop, edge device or server

Plans side by side

dbt

Developer$0month
Starter$100user/month
EnterpriseCustomcustom
Enterprise+Customcustom
dbt pricing

DuckDB

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

dbt

  • Excellent tool for modern data warehousing
  • Cleans and models raw data into analytics-ready tables
  • Compatible with many other data and BI tools

    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, “dbt vs DuckDB”, https://slateindex.ai/compare/dbt-vs-duckdb, data of Nov 3, 2026. Licence: CC BY 4.0.