Engineering High-Performance Database Engines
Summary: Survey two DB engines—disk-based RDF-3X and in-memory HyPer—on architecture choices for scaling with data and hardware. Compares design decisions and optimization techniques across SPARQL and relational workloads, highlighting cross-engine trade-offs in high-performance data systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,914 | Quantifying TPC-H Choke Points and Their Optimizations | 2020 | VLDB | 7.9197583e-05 |
| 3,719 | To Partition, or Not to Partition, That is the Join Question in a Real System | 2021 | SIGMOD | 6.8141176e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 869 | An Efficient SQL-based RDF Querying Scheme | 2005 | VLDB | 0.00015734541 |
| 7,261 | H2 RDF+: An Efficient Data Management System for Big RDF Graphs | 2014 | SIGMOD | 4.7811974e-05 |
| 4,359 | Hardware-conscious Query Processing in GPU-accelerated Analytical Engines | 2019 | CIDR | 6.2493951e-05 |
| 1,963 | Building an Efficient RDF Store Over a Relational Database | 2013 | SIGMOD | 9.9431532e-05 |
| 3,698 | Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS | 2013 | VLDB | 6.8278944e-05 |
| 2,920 | x-RDF-3X: Fast Querying, High Update Rates, and Consistency for RDF Databases | 2010 | VLDB | 7.8999781e-05 |
| 587 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB | 0.00019623493 |
| 4,728 | Workload Matters: Why RDF Databases Need a New Design | 2014 | VLDB | 5.9617831e-05 |
| 1,212 | RDF-3X: a RISC-style Engine for RDF | 2008 | VLDB | 0.00013255692 |
| 7,824 | A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data | 2017 | VLDB | 4.6390831e-05 |