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Bulk Loading into an OODB: A Performance Study

Summary: Seven OODB bulk-loading algorithms tackle circular and inverse relationships; evaluated with analytic models and a Shore object repository. Results show up to one to two orders of magnitude speedups over naive loading, underscoring algorithm choice as a critical performance lever. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8186
Venue
VLDB
Year
1994
Pagerank
4.6303504e-05
Overall Rank
7,875 | 45.22%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,979 The BUCKY Object-Relational Benchmark 1997 SIGMOD 6.5681058e-05
4,756 OODB Bulk Loading Revisited: The Partitioned-List Approach 1995 VLDB 5.9450079e-05
9,275 Efficient Bulk Deletes for Multi Dimensional Clustered Tables in DB2 2007 VLDB 4.3645459e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
292 Shoring Up Persistent Applications 1994 SIGMOD 0.00028741386
1,698 Query Processing in the ObjectStore Database System 1992 SIGMOD 0.00010869294
4,009 IBM's Relational DBMS Products: Features and Technologies 1993 SIGMOD 6.5358063e-05
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