DuckDBSimple, feature-rich, fast and open source analytical SQL database.
vs
MySQLThe world's most popular open source database
Comparison · Data Warehouse · weekly run Nov 3
DuckDB vs MySQL
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 4.2 for MySQL, and ranks ahead in 57% of the answers that name both.
Choose DuckDB if…
- You want the brand AI engines rank higher (9.9 vs 4.2)
- Open-source, in-process analytical database
- Free and excellent for local analytics on small datasets
- Lightweight, local-first data engineering without massive cloud infrastructure
Choose MySQL if…
- You prefer a larger, established vendor (5,000+ employees)
- well suited to transactional workloads
- common primary production database with read replicas
AI visibility side by side
Latest weekly run · Nov 3
| Metric | DuckDB | MySQL |
|---|---|---|
| Visibility score | 9.9% | 4.2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #11 | #18 |
| Share of voice | 3% | 1.1% |
| Mentions this run | 17 | 6 |
| Positive in AI answers | 37% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
DuckDB 0pp · MySQL 0pp over 0 weekly runs.
Engine by engine
DuckDB leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DuckDBMySQL
Head to head in AI answers
7 engine answers name both brands
4DuckDB ranked higher
3MySQL ranked higher
| Prompt | Engine | DuckDB | MySQL |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | ChatGPT | #4 | #2 |
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #10 | #7 |
| Best data warehouse for startups | ChatGPT | #8 | #10 |
| Best data warehouse for startups | AI Mode | #8 | #7 |
| What are the pros and cons of DuckDB? | ChatGPT | #1 | #3 |
| What are the pros and cons of DuckDB? | AI Mode | #1 | #3 |
| What are the pros and cons of DuckDB? | Perplexity | #1 | #3 |
Features, pricing & fit
| Dimension | DuckDB | MySQL |
|---|---|---|
| Deployment | Embedded in-process, or client-server via Quack, from edge devices to servers with hundreds of cores | Cloud service (HeatWave) and self-managed software using a client-server model, also available as an embeddable library |
| Support | Support page on duckdb.org, GitHub issues | 24x7 direct technical support from MySQL engineers via MySQL Enterprise Edition |
| Founded | 2018 | — |
| Headquarters | Amsterdam, Netherlands | Austin, Texas, United States (parent Oracle's headquarters) |
| Employees | 11–50 | 5,000+ |
| Funding | Spinout from CWI | Series C · $39M raised |
| 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 | Web-based applications, and ISVs, OEMs and VARs embedding a database in their products |
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
MySQL
- well suited to transactional workloads
- common primary production database with read replicas
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “DuckDB vs MySQL”, https://slateindex.ai/compare/duckdb-vs-mysql, data of Nov 3, 2026. Licence: CC BY 4.0.