BP-tree: Overcoming the Point-Range Operation Tradeoff for In-Memory B-trees
Summary: BP-tree uses asymmetric nodes (small internals, large leaves) and a buffered partitioned array (BPA) that postpones ordering to make inserts cheap while enabling large-leaf scans. Matches/exceeds Masstree/OpenBw-tree point throughput (0.94–1.2x) and yields ≈7–30x faster range scans. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Helen Xu
- 2. Amanda Li
- 3. Brian Wheatman
- 4. Manoj Marneni
- 5. Prashant Pandey
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,154 | Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index | 2024 | VLDB | 4.815267e-05 |
| 9,404 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD | 4.3441378e-05 |
| 10,137 | Aeris Filter: A Strongly and Monotonically Adaptive Range Filter | 2026 | SIGMOD | 4.1945683e-05 |
| 10,368 | B-Trees Are Back: Engineering Fast and Pageable Node Layouts | 2025 | SIGMOD | 4.1945683e-05 |
| 10,527 | Zombie Hashing: Reanimating Tombstones in a Graveyard | 2025 | SIGMOD | 4.1945683e-05 |
| 10,583 | Tabular: Efficiently Building Efficient Indexes | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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