Making Data Management Better with Vectorized Query Processing

Vectorized query processing is a query processing technique that 20 years ago was introduced in the Vectorwise database system, originally developed in the CWI database architectures research group. Nowadays, it is employed by most analytical data systems, from recent systems like DuckDB, Clickhouse, Velox, DataFusion and Polars to analytical cloud services such as Snowflake, BigQuery, Databricks and MotherDuck. The keynote will tell the story of vectorized query processing, as it evolved in research and industry over the past two decades. It will conclude with a reflection on the purpose of our research ("making data management better").