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SQLite: Past, Present, and Future

Summary: SQLite ubiquity: in-process, standalone, cross-platform; OLTP-optimized with row storage and B-trees. SQLite: transactional, analytical, and blob workloads; OLAP bottlenecks; up to 4.2× SSB speedups, with in-process analytics roadmap. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12830
Venue
VLDB
Year
2022
Pagerank
5.1593011e-05
Overall Rank
6,193 | 56.96%
DOI
10.14778/3554821.3554842

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Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036529607
1,016 Memory-Efficient Hash Joins 2015 VLDB 0.00014630024
2,777 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.1346418e-05
5,195 Bitvector-aware Query Optimization for Decision Support Queries 2020 SIGMOD 5.6314278e-05
5,303 Applying Hash Filters To Improving The Execution Of Bushy Trees 1993 VLDB 5.5740327e-05
9,302 Introducing a Query Acceleration Path for Analytics in SQLite3 2022 CIDR 4.355259e-05
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