Introducing a Query Acceleration Path for Analytics in SQLite3
Summary: Introduce SQLite3/HE: an alternative execution path and complementary storage layer that converts SQLite into a hybrid row+columnar engine. Delivers 100x–1000x analytical-query speedups while preserving transactional performance and drop-in compatibility. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Martin Prammer (University of Wisconsin)
- 2. Suryadev Sahadevan Rajesh (University of Wisconsin)
- 3. Junda Chen (University of Wisconsin)
- 4. Jignesh M. Patel (University of Wisconsin)
BibTeX Citation
@inproceedings{prammer_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Introducing a Query Acceleration Path for Analytics in SQLite3}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Prammer, Martin and Rajesh, Suryadev Sahadevan and Chen, Junda and Patel, Jignesh M.},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,284 | SQLite: Past, Present, and Future | 2022 | VLDB | 6.2827906e-05 |
| 6,314 | YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 5.9157364e-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 |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00069513174 |
| 103 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00034161428 |
| 1,312 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD | 0.00011193166 |
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