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"One Size Fits All" Database Architectures Do Not Work For DSS

Summary: Argues against universal DB architectures for OLTP and DSS workloads. OLTP and DSS enforce opposing design laws; a single system optimized for one degrades the other, motivating workload-specific or hybrid architectures with distinct storage and processing paths. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2832
Venue
SIGMOD
Year
1995
Pagerank
0.00022703892
Overall Rank
456 | 96.84%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
20 C-Store: A Column-oriented DBMS 2005 VLDB 0.00086163998
121 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00045429472
240 Cache Conscious Indexing for Decision-Support in Main Memory 1999 VLDB 0.00031526134
1,033 Bitmap Index Design and Evaluation 1998 SIGMOD 0.0001453376
1,050 A Common Database Approach for OLTP and OLAP Using an In-Memory Column Database 2009 SIGMOD 0.00014425459
1,726 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.00010734339
2,414 Towards a One Size Fits All Database Architecture 2011 CIDR 8.8572378e-05
12,418 Dwarfs in the Rearview Mirror: How Big are they Really? 2008 VLDB 4.1905499e-05
12,558 Bridging the Gap between OLAP and SQL 2005 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
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