DuckDB

DuckDB is an in-process SQL OLAP database management system designed to process and store tabular datasets, facilitate interactive data analysis, handle concurrent large changes to multiple large tables, and efficiently transfer large result sets to clients. According to the DuckDB Foundation, this software solution is targeted at small to medium-sized companies and is commonly used by data analysts, data scientists, business intelligence professionals, researchers, and software developers across various industries.

Key Features

Simple and portable: According to the vendor, DuckDB is designed to be a simple and portable database management system, making installation and deployment easy. It has no external dependencies and can be built with a working C++11 compiler. DuckDB runs as an in-process, serverless database, eliminating the need for separate server software installation and maintenance. The vendor states that it supports various operating systems, including Windows, Linux, macOS, and OpenBSD.

Feature-rich: DuckDB offers extensive SQL support, including complex queries, a large function library, and window functions. The vendor claims that it provides transactional guarantees through its Multi-Version Concurrency Control (MVCC) mechanism. DuckDB supports direct querying of Parquet, CSV, and JSON files, enabling seamless integration with different data formats. It also supports joins, aggregates, and window functions for efficient data processing and analysis.

Fast: According to the vendor, DuckDB is optimized for analytical queries and can efficiently handle complex, long-running queries. It utilizes a vectorized and parallel engine for high-performance query execution. The vendor states that DuckDB can process data larger than memory, enabling analysis of large datasets. It also supports parallel loading of Parquet, CSV, and NDJSON files, which the vendor claims improves data loading performance.