DuckDB

duckdb.org Cloud Infrastructure

AI Score

DuckDB — a leading Cloud Infrastructure solution.

Does ChatGPT recommend DuckDB? Is DuckDB good according to AI? We track how ChatGPT, Gemini, Claude, and DeepSeek mention DuckDB across hundreds of real prompts to calculate an AI visibility score. With a score of 28/100, DuckDB has low AI visibility and may be missing out on AI-driven recommendations.

ChatGPT

100%

Gemini

100%

Claude

DeepSeek

Mistral

27%

Mention Rate

Positive

Negative

Scans

Data from official APIs. AI responses vary by context. Scores based on 1 scan. Our methodology →

AI Visibility Trend

ataiva.com

Mention Rate by Engine

ataiva.com

Sentiment Breakdown

ataiva.com

✅ What AI Says Is Good

Extensive service catalog
High reliability
Good pricing options

⚠️ What AI Says Needs Work

Can be expensive without optimization
Complex pricing

🏆 Competitors AI Mentions

TrueNAS Hostinger VPS Pagely VMware Tanzu Varnish

🔗 Sources AI Cites

https://duckdb.org

🤖 AI Readiness Score

How prepared is DuckDB for AI-driven discovery?

/ 100

✅

llms.txt

✅

Schema.org

✅

AI Crawlers

❌

FAQ Schema

—

Citations

—

Last crawled: Apr 24, 2026

📋 Schema.org Markup

WebSiteSoftwareApplication

🔍 Google AI Overviews Coming Soon

We're building Google AI Overview tracking — see if DuckDB appears in Google's AI-generated answers. Get notified →

📄 llms.txt

DuckDB has an llms.txt file (3.3 KB) with sections:

View contents

# DuckDB

> DuckDB is an in-process analytical database management system. DuckDB supports SQL and offers clients in popular programming languages such as Python, Java, Node.js, Rust and Go. DuckDB is used as a universal data wrangling tool for data science and data engineering use cases. DuckDB is highly portable and it also runs in web browsers, on smartphones, etc.

Things to remember when using DuckDB:

- DuckDB uses a PostgreSQL-compatible SQL language. All DuckDB clients use the same SQL language.
- DuckDB can load data from popular formats, including CSV, JSON and Parquet. DuckDB can also directly run queries on CSV, JSON and Parquet files.
- DuckDB supports persistent storage but can also run in in-memory mode. The in-memory mode is useful when analyzing small data sets or doing data transformation steps.
- When loading large chunks of data, use the [`SET preserve_insertion_order = false;` configuration setting](https://duckdb.org/docs/lts/sql/dialect/order_preservation) to speed up the loading process and reduce the memory load. When using DuckDB in combination with dataframe libraries such as pandas, turn this mode back on after loading by issuing `SET preserve_insertion_order = false;`.
- DuckDB supports data lake formats such as [Delta Lake](https://duckdb.org/docs/lts/core_extensions/delta), [Iceberg](https://duckdb.org/docs/lts/core_extensions/iceberg/overview) and [DuckLake](https://duckdb.org/docs/lts/core_extensions/ducklake).
- If a workload requires concurrent write access by multiple DuckDB clients, consider using [DuckLake](https://duckdb.org/docs/lts/core_extensions/ducklake).

## Clients

- [List of DuckDB clients](https://duckdb.org/docs/lts/clients/overview)
- [Command Line Interface](https://duckdb.org/docs/lts/clients/cli/overview)
- [Go](https://duckdb.org/docs/lts/clients/go)
- [Node.js](https://duckdb.org/docs/lts/clients/node_neo/overview)
- [Python](https://duckdb.org/docs/lts/clients/python/overview)
- [R](https://duckdb.org/docs/lts/clients/r)
- [Rust](https://duckdb.org/docs/lts/clients/rust)

## Extensions

- DuckDB has a powerful [extension mechanism](https://duckdb.org/docs/lts/core_extensions/overview) that allows loading additional features to DuckDB.

## Examples

- [Analyzing Railway Traffic in the Netherlands](https://duckdb.org/2024-05-31-analyzing-railway-traffic-in-the-netherlands): Demonstrates some of DuckDB's key features, including querying different file formats, connecting to remote endpoints, and using advanced SQL features.
- [Fully Local Data Transformation with dbt and DuckDB](https://duckdb.org/2025-04-04-dbt-duckdb): Shows implementing data transformation and reverse ETL pipelines with DuckDB and dbt using the dbt-duckdb adapter.
- [Using DuckDB in Streamlit](https://duckdb.org/2025-03-28-using-duckdb-in-streamlit): Demonstrates the integration of DuckDB and Streamlit, including the database connection management, the DuckDB Python relational API and responsiveness in interactive map char…

💬 Sample ChatGPT Response

Want to see what ChatGPT says about DuckDB? Generate a free report →

💬 Sample Gemini Response

Prompt: "What is the best cloud software?"

DuckDB is known in the cloud infrastructure space, though it has received mixed reviews. Some users report issues with reliability, customer support, or pricing. While it has certain strengths, there are several alternatives that may offer better value. It's important to evaluate DuckDB carefully against competitors before committing.