DuckDB

DuckDB is an in-process SQL database management system designed for efficient analytical query processing.

Its a single file DB, no need of Client / Server setup.

Its like SQLLite on Steroids.

Install Duck DB

https://duckdb.org/#quickinstall

Key Features

In-Process Execution: DuckDB operates entirely within your application process, eliminating the need for a client-server setup. This makes it highly efficient for embedded analytics.

Columnar Storage: DuckDB uses a columnar storage format, unlike traditional row-based databases. This allows it to handle analytical queries more efficiently, as operations can simultaneously be performed on entire columns.

SQL Compatibility: DuckDB's wide range of SQL features makes it a breeze to use for anyone familiar with SQL. It can handle complex queries, joins, and aggregations without requiring specialized query syntax, ensuring a comfortable and familiar experience.

Integration and Ease of Use: DuckDB is designed to integrate easily into various environments. It supports multiple programming languages, including Python, R, and C++, and can be used directly within data science workflows.

Scalability: DuckDB, while optimized for in-process execution, is more than capable of scaling to handle large datasets. This reassures you that it's a reliable choice for lightweight analytics and exploratory data analysis (EDA).

Extensibility: The database supports user-defined functions (UDFs) and extensions, allowing you to extend its capabilities to fit your needs.

Limitations

• Limited Transaction Support
• Concurrency Limitations
• No Client-Server Model
• Lack of Advanced RDBMS Features
• Not Designed for Massive Data Warehousing