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DuckDB vs MySQL

Side-by-side comparison of features, pricing, ratings, and alternatives.

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DuckDB
DuckDBThe SQLite for Analytics
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MySQL
MySQLThe world’s most popular open-source relational database.
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Overview
Description

DuckDB is an in-process analytical database that allows you to run SQL queries directly on your data files. It is designed to be highly performant and scalable, making it suitable for a wide range of analytical workloads. DuckDB supports a wide range of data formats, including CSV, JSON, and Parquet, and can be easily integrated into existing data pipelines.

MySQL is a widely used open-source relational database that powers a huge portion of the web, known for speed, reliability, and broad hosting support. It remains a default for many web applications and CMSes.

Pricing
Free
Contact for Pricing

Free community edition; paid enterprise editions available.

Category
Databases
Databases
Best for
Data Scientists and Analysts
Web developers
Specifications
deployment
Self-hosted
Self-hosted
open source
Yes
Yes
github stars
39,507
—
api available
Yes
Yes
support options
Email, GitHub Issues
—
key integrations
Python, R, SQL
—
primary language
C++
—
platforms
—
Windows, Mac, Linux
Pros & Cons
Pros
  • High-performance analytics capabilities
  • Supports a wide range of data formats
  • Easy to integrate into existing data pipelines
  • Free and open-source
  • Extremely widely supported
  • Fast for reads
  • Huge community
  • Free community edition
Cons
  • Limited support for transactional workloads
  • Not suitable for very large-scale deployments
  • Limited support for advanced analytics features
  • Fewer advanced features than Postgres
  • Licensing nuances (Oracle-owned)
  • Some prefer MariaDB fork
Community & Metrics
Upvotes
0
5
User rating
Not enough data
4.5 (4)

What reviewers say

DuckDB Reviews

No reviews yet.

MySQL Reviews

4.5 (4)
Verified User

Great database

Tried MySQL recently. Extremely widely supported. Minor gripe: fewer advanced features than postgres. Would recommend.

Verified User

Great database

Been using MySQL for a while. Huge community. No real complaints. Would recommend.

Verified User

Solid choice

Been using MySQL for a while. Fast for reads. Minor gripe: some prefer mariadb fork. Would recommend.

Read all reviews →

More alternatives & similar tools

Alternatives to DuckDB

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ClickHouse
ClickHouse

Column-store database management system

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Alternatives to MySQL

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PostgreSQL
PostgreSQL

The advanced open-source relational database.

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Supabase
Supabase

Postgres database for the modern web

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TiDB
TiDB

A cloud‑native, MySQL‑compatible distributed SQL database for massive scalability

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The Verdict

AI-generated from listing data

MySQL is the safer default for general web‑app relational storage, while DuckDB excels for in‑process analytics on moderate data sizes.

Key differences

  • •Target audience: MySQL for web developers building transactional apps; DuckDB for data scientists needing analytical queries.
  • •Deployment model: Both self‑hosted, but MySQL offers mature server‑grade clustering, DuckDB runs in‑process within host language.
  • •Feature focus: MySQL provides robust transaction/replication features; DuckDB prioritizes columnar, vectorized analytics and multi‑format ingestion.
  • •Ecosystem: MySQL has a huge tooling and hosting ecosystem; DuckDB’s integrations are mainly Python, R, and SQL libraries.
DimensionWinner

Pricing & value

DuckDB is completely free; MySQL’s enterprise editions require paid licensing, though a free community edition exists.

DuckDB

Ease of use / learning curve

DuckDB offers a simple in‑process API for Python/R, requiring no server setup; MySQL needs server installation and configuration.

DuckDB

Features & depth

MySQL includes replication, clustering, and mature ACID transaction support; DuckDB lacks advanced transactional workloads.

MySQL

Integrations & ecosystem

MySQL enjoys ubiquitous hosting support and a large ecosystem of tools; DuckDB’s key integrations are limited to Python, R, and SQL.

MySQL

Scalability

MySQL supports large‑scale deployments with clustering; DuckDB is not suited for very large‑scale production deployments.

MySQL

Support

MySQL offers enterprise support options; DuckDB provides community support via email and GitHub Issues only.

MySQL

Security & privacy

MySQL’s enterprise editions include advanced security features; DuckDB’s security details are not specified.

MySQL

Choose DuckDB if…

Data scientists/analysts needing fast, in‑process analytics on CSV/Parquet data without server overhead.

Choose MySQL if…

Web developers needing a reliable, scalable transactional database with enterprise support.

Common questions

Is there any cost to start using either product?

DuckDB is free; MySQL offers a free community edition but enterprise editions require contacting sales for pricing.

Can DuckDB replace MySQL for a production web application?

No; DuckDB is limited for transactional workloads and large‑scale deployments, whereas MySQL is built for those scenarios.

What languages can I use to interact with each database?

MySQL provides a generic API usable from many languages; DuckDB offers native APIs for Python, R, and standard SQL.