TPC-D - The Challenges, Issues and Results

Summary: Empirical TPC-D study by NCR on Teradata Database, reporting initial volume points and benchmark weaknesses vs real workloads. Highlights include full-disclosure guidance and the execution/optimization elements of Teradata and 5100 WorldMark that shape published results and caveats. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8391
Venue: VLDB
Year: 1996
Pagerank: 4.6581389e-05
Overall Rank: 7,744 | 46.18%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Ramesh Bhashyam

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,082	Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control	2007	VLDB	4.8333334e-05
9,089	Optimizing Complex Queries with Multiple Relation Instances	2008	SIGMOD	4.3939805e-05

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

Semantically Similar Papers

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2,996	Data Generation for Application-Specific Benchmarking	2011	VLDB	7.7580926e-05
9,783	Database and Transaction Processing Benchmarks	1992	SIGMOD	4.2815042e-05
8,707	Technology Challenges in a Data Warehouse	2004	VLDB	4.4586264e-05
9,304	Keeping the TPC Relevant!	2013	VLDB	4.3550373e-05
3,236	TPC-DS, Taking Decision Support Benchmarking to the Next Level	2002	SIGMOD	7.3294564e-05
14,192	Administration, Availability, and Development Features of Teradata	1992	SIGMOD	-
3,800	Why You Should Run TPC-DS: A Workload Analysis	2007	VLDB	6.7529849e-05