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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
h4af35983b58d314f
Venue
VLDB
Year
1994
Pagerank
5.3449307e-05
Overall Rank
8,365 | 43.78%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wiener_vldb94,
        title = {{Bulk Loading into an OODB: A Performance Study}},
        author = {Wiener, Janet L. and Naughton, Jeffrey F.},
        journal = {PVLDB},
        series = {{VLDB} '94},
        pages = {120--131},
        year = {1994}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,564 The BUCKY Object-Relational Benchmark 1997 SIGMOD 6.5307685e-05
5,051 OODB Bulk Loading Revisited: The Partitioned-List Approach 1995 VLDB 6.2955172e-05
9,612 Efficient Bulk Deletes for Multi Dimensional Clustered Tables in DB2 2007 VLDB 5.1511523e-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
302 Shoring Up Persistent Applications 1994 SIGMOD 0.00021664369
1,886 Query Processing in the ObjectStore Database System 1992 SIGMOD 9.434484e-05
4,379 IBM's Relational DBMS Products: Features and Technologies 1993 SIGMOD 6.6251366e-05
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