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SlateIndex
Amazon RedshiftFully managed, petabyte-scale cloud data warehouse on AWS
vs
DuckDBSimple, feature-rich, fast and open source analytical SQL database.
Comparison · Data Warehouse · weekly run Nov 3

Amazon Redshift vs DuckDB

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

The short answer

Amazon Redshift is the stronger AI pick in Data Warehouse: it has a visibility score of 40.5 versus 9.9 for DuckDB, and ranks ahead in 73% of the answers that name both.

Choose Amazon Redshift if…

  • You want the brand AI engines rank higher (40.5 vs 9.9)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 9001 or C5 or PCI DSS or SOC 1 or SOC 2 coverage
  • Petabyte-scale, fully managed data warehouse service
  • Deep integration with AWS services like S3, IAM, and existing AWS operations

Choose DuckDB if…

  • AI answers describe it more positively (37% vs 19% 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 Amazon Redshift DuckDB
Visibility score40.5%9.9%
Change vs last weekNewNew
Rank in Data Warehouse#3#11
Share of voice9.8%3%
Mentions this run5517
Positive in AI answers19%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 3Amazon Redshift 41%

Amazon Redshift 0pp · DuckDB 0pp over 0 weekly runs.

Engine by engine

Amazon Redshift leads on 3 of 3 engines

ChatGPT
47%
8.7%
AI Mode
32%
7.8%
Perplexity
42.4%
13.3%
Amazon RedshiftDuckDB

Head to head in AI answers

11 engine answers name both brands

8Amazon Redshift ranked higher
3DuckDB ranked higher

Features, pricing & fit

DimensionAmazon RedshiftDuckDB
DeploymentCloud, fully managed on AWS, as Provisioned clusters or ServerlessEmbedded in-process, or client-server via Quack, from edge devices to servers with hundreds of cores
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 9001, C5, PCI DSS, SOC 1, SOC 2—
Support—Support page on duckdb.org, GitHub issues
Founded20132018
Headquarters—Amsterdam, Netherlands
Employees—11–50
Funding—Spinout from CWI
Best for—Developers 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

Amazon Redshift

  • Petabyte-scale, fully managed data warehouse service
  • Deep integration with AWS services like S3, IAM, and existing AWS operations
  • Reserved pricing can cut compute costs substantially for committed use
  • Free trial with Redshift Serverless or node-hour allowance
  • Widely shortlisted as a leading cloud data warehouse
  • Requires capacity and cost management, and bills can be hard to predict

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