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SlateIndex
DuckDBSimple, feature-rich, fast and open source analytical SQL database.
vs
FireboltThe open-source analytical database for engineers
Comparison · Data Warehouse · weekly run Nov 3

DuckDB vs Firebolt

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 1.4 for Firebolt, and ranks ahead in 100% of the answers that name both.

Choose DuckDB if…

  • You want the brand AI engines rank higher (9.9 vs 1.4)
  • 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

Choose Firebolt if…

  • You need SOC 2 Type II or ISO 27001 or ISO 27018 or HIPAA (BAA available) or GDPR aligned coverage
  • You prefer a larger, established vendor (51–200 employees)
  • free entry tier
  • designed for embedded analytics

AI visibility side by side

Latest weekly run · Nov 3

Metric DuckDB Firebolt
Visibility score9.9%1.4%
Change vs last weekNewNew
Rank in Data Warehouse#11#23
Share of voice3%0.7%
Mentions this run174
Positive in AI answers37%0%

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 3DuckDB 10%

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

Engine by engine

DuckDB leads on 3 of 3 engines

ChatGPT
8.7%
1.9%
AI Mode
7.8%
0%
Perplexity
13.3%
2.2%
DuckDBFirebolt

Head to head in AI answers

2 engine answers name both brands

2DuckDB ranked higher
0Firebolt ranked higher

Features, pricing & fit

DimensionDuckDBFirebolt
DeploymentEmbedded in-process, or client-server via Quack, from edge devices to servers with hundreds of coresSelf-hosted as a binary, Docker image, Helm chart or Kubernetes operator; also available as a managed service or in the customer's own cloud (BYOC)
Compliance—SOC 2 Type II, ISO 27001, ISO 27018, HIPAA (BAA available), GDPR aligned
SupportSupport page on duckdb.org, GitHub issuesAsk an engineer (contact request on the website)
Founded20182019
HeadquartersAmsterdam, NetherlandsPalo Alto, California, US
Employees11–5051–200
FundingSpinout from CWISeed · $270M raised
Best forDevelopers and data engineers who want a fast analytical SQL engine embedded in an application or run on a laptop, edge device or serverEngineering teams building sub-second customer-facing analytics, AI data products and efficient ELT workloads

Pros and cons

Themes from the AI answers that mention each brand

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

Firebolt

  • free entry tier
  • designed for embedded analytics
  • may be excessive for ordinary internal reporting

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

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