Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask
Summary: Apples-to-apples comparison of vectorized and data-centric query processing in a single system. Vectorization hides cache-miss latency; data-centric compilation uses fewer instructions for cache-resident workloads, with SIMD and multi-core effects analyzed. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Timo Kersten
- 2. Viktor Leis
- 3. Alfons Kemper
- 4. Thomas Neumann
- 5. Andrew Pavlo
- 6. Peter Boncz
Incoming Citations (Sorted by Pagerank)
Showing 7 of 57 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,786 | Freely Moving Between the OLTP and OLAP Worlds: Hermes – an High-Performance OLAP Accelerator for MySQL | 2025 | VLDB | 4.1945683e-05 |
| 10,969 | Query Compilation Without Regrets | 2024 | SIGMOD | 4.1945683e-05 |
| 10,989 | High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance | 2024 | SIGMOD | 4.1945683e-05 |
| 11,069 | Hardware-Efficient Data Imputation through DBMS Extensibility | 2024 | VLDB | 4.1945683e-05 |
| 11,090 | Simple (yet Efficient) Function Authoring for Vectorized Engines | 2024 | VLDB | 4.1945683e-05 |
| 11,269 | Big Data Analytic Toolkit: A general-purpose, modular, and heterogeneous acceleration toolkit for data analytical engines | 2023 | VLDB | 4.1945683e-05 |
| 11,430 | AnyDB: An Architecture-less DBMS for Any Workload | 2021 | CIDR | 4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,383 | How to Architect a Query Compiler | 2016 | SIGMOD | 8.9294108e-05 |
| 5,559 | Rethinking MIMD-SIMD Interplay for Analytical Query Processing in In-Memory Database Engines | 2025 | CIDR | 5.4340893e-05 |
| 124 | DBMSs On A Modern Processor: Where Does Time Go? | 1999 | VLDB | 0.00045103515 |
| 8,791 | One Loop Does Not Fit All | 2015 | SIGMOD | 4.4507369e-05 |
| 6,189 | Accelerating Python UDFs in Vectorized Query Execution | 2022 | CIDR | 5.1647573e-05 |
| 60 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00064439773 |
| 5,723 | Evolution of a Compiling Query Engine | 2021 | VLDB | 5.3522361e-05 |
| 958 | Rethinking SIMD Vectorization for In-Memory Databases | 2015 | SIGMOD | 0.00015045316 |
| 9,857 | Towards Unifying Query Interpretation and Compilation | 2023 | CIDR | 4.269353e-05 |
| 11,850 | Vectorizing an In Situ Query Engine | 2016 | SIGMOD | 4.1945683e-05 |