Dynamic read & write optimization with TurtleKV

Summary: TurtleKV introduces TurtleTree, a read/write-balanced on-disk structure with flexible read-/write-memory knobs, enabling dynamic workload retuning without data restructuring or in-memory bottlenecks. Delivers state-of-the-art or superior YCSB performance across inserts, mixed workloads, point queries, and scans. (summarized by gpt-5.6-luna on Aug 17 2026)

Paper ID: h1da60e8ef254b0af
Venue: VLDB
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,758 | 27.67%
DOI: 10.14778/3819518.3819523

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Tony Astolfi (MathWorks; Tufts University)
2. Vidya Silai (MathWorks)
3. Darby Huye (Tufts University)
4. Lan Liu (Tufts University)
5. Raja R. Sambasivan (Tufts University)
6. Johes Bater (Tufts University)

BibTeX Citation

@article{astolfi_vldb26,
        title = {{Dynamic read \& write optimization with TurtleKV}},
        author = {Astolfi, Tony and Silai, Vidya and Huye, Darby and Liu, Lan and Sambasivan, Raja R. and Bater, Johes},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {9},
        pages = {1907--1920},
        doi = {10.14778/3819518.3819523},
        url = {https://doi.org/10.14778/3819518.3819523},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
148	Gorilla: A Fast, Scalable, In-Memory Time Series Database	2015	VLDB	0.0002900671
400	Monkey: Optimal Navigable Key-Value Store	2017	SIGMOD	0.00019129175
546	Faster: A Concurrent Key-Value Store with In-Place Updates	2018	SIGMOD	0.00016590738
754	Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging	2018	SIGMOD	0.00014236015
816	SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data	2017	VLDB	0.00013687311
1,074	Cache-Oblivious String B-trees	2006	PODS	0.00012162592
1,320	Building a Bw-Tree Takes More Than Just Buzz Words	2018	SIGMOD	0.00011045319
1,422	The Log-Structured Merge-Bush & the Wacky Continuum	2019	SIGMOD	0.00010725538
1,889	Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn	2019	CIDR	9.4273689e-05
3,479	Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine	2022	VLDB	7.2695068e-05
3,525	Key-Value Storage Engines	2020	SIGMOD	7.2327042e-05
3,680	SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy	2023	SIGMOD	7.1029718e-05
3,712	Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design	2021	SIGMOD	7.078249e-05
5,248	Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty	2022	VLDB	6.211056e-05
6,484	Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index	2024	VLDB	5.7696173e-05
6,989	FASTER: An Embedded Concurrent Key-Value Store for State Management	2018	VLDB	5.6274028e-05
7,816	B^link-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases	2023	VLDB	5.4481832e-05
8,030	Mach: A Pluggable Metrics Storage Engine for the Age of Observability	2022	CIDR	5.4037247e-05
10,029	LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services	2024	VLDB	5.0925155e-05
10,035	From Worst-Case to Average-Case Analysis: Accurate Latency Predictions for Key-Value Storage Engines	2020	SIGMOD	5.0925155e-05

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