The Drill Down Benchmark

Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provides a practical case and yardstick to explore how well a DBMS is able to support Data Mining applications. It was derived from real-life data mining tasks performed by our Data SurveyorTM tool running on a variety of DBMS backends. We describe initial results obtained using both the Monet system and a relational DBMS product as backend.

• Type: Conference
• Year: 1998
• Where: VLDB
• Authors: Peter A. Boncz, Tim Rühl, Fred Kwakkel
• Keywords: Data Mining, Database, DBMS, DBMS Query Performance, VLDB 1998