Simplicity in installation, and embedded in-process operation are central to its success. SQLite is the world’s most widely deployed DBMS.

Vectorized query execution leads to far better performance in OLAP queries.

This greatly reduces overhead present in traditional systems such as PostgreSQL, MySQL or SQLite which process each row sequentially. DuckDB contains a columnar-vectorized query execution engine, where queries are still interpreted, but a large batch of values (a “vector”) are processed in one operation. The state of the art in data management to achieve this are either vectorized or just-in-time query execution engines. To efficiently support this workload, it is critical to reduce the amount of CPU cycles that are expended per individual value. Changes to the data are expected to be rather large-scale as well, with several rows being appended, or large portions of tables being changed or added at the same time. These workloads are characterized by complex, relatively long-running queries that process significant portions of the stored dataset, for example aggregations over entire tables or joins between several large tables. DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).

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