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DB2 with BLU Acceleration: So Much More than Just a Column Store

Summary: DB2 BLU accelerates BI queries with a column-store, dictionary compression, and SIMD in-memory processing, delivering 10–50× speedups and 3–10× better compression than row stores. It processes predicates, joins, and group-bys directly on compressed data using late materialization and parallelism, while enabling seamless mixing of column- and row-tables in one tablespace. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10545
Venue
VLDB
Year
2013
Pagerank
0.00031420034
Overall Rank
241 | 98.33%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 103 citing papers.

Rank Citing Paper Year Venue Pagerank
10,989 High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance 2024 SIGMOD 4.1945683e-05
11,993 A Partitioning Framework for Aggressive Data Skipping 2014 VLDB 4.1945683e-05
12,062 Next Generation Data Analytics at IBM Research 2013 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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