Dwarfs in the Rearview Mirror: How Big are they Really?
Summary: Re-implements Dwarf for OLAP workloads; reproduces key experiments but uncovers orders-of-magnitude differences from prior results. Provides missing comparisons to baseline strategies and explains when Dwarf is practically useful, toward guidelines for practitioners. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 123 | A Decomposition Storage Model | 1985 | SIGMOD | 0.00045255007 |
| 145 | Quickly Generating Billion-Record Synthetic Databases | 1994 | SIGMOD | 0.0004138408 |
| 457 | "One Size Fits All" Database Architectures Do Not Work For DSS | 1995 | SIGMOD | 0.00022713791 |
| 472 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.00022346384 |
| 1,191 | Fast Computation of Sparse Datacubes | 1997 | VLDB | 0.00013434201 |
| 2,662 | Dwarf: Shrinking the PetaCube | 2002 | SIGMOD | 8.3532302e-05 |
| 4,005 | QC-Trees: An Efficient Summary Structure for Semantic OLAP | 2003 | SIGMOD | 6.5414308e-05 |
| 6,128 | Data Mining with the SAP NetWeaver BI Accelerator | 2006 | VLDB | 5.1979556e-05 |
| 7,081 | The Polynomial Complexity of Fully Materialized Coalesced Cubes | 2004 | VLDB | 4.8413336e-05 |
| 12,549 | Bridging the Gap between OLAP and SQL | 2005 | VLDB | 4.1945683e-05 |
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