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
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,192 | SQLite: Past, Present, and Future | 2022 | VLDB | 5.1641743e-05 |
| 6,701 | YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 4.9561066e-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 |
|---|---|---|---|---|
| 21 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00086087497 |
| 185 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00036538405 |
| 1,792 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD | 0.00010537893 |
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| 6,192 | SQLite: Past, Present, and Future | 2022 | VLDB | 5.1641743e-05 |