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Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm

Summary: Introduces Coconut Palm, an interactive tool for exploring static and streaming data series via Coconut’s sortable format and mixed indexing for fast sequential I/O. Offers a recommender and design-space guidance to navigate index choices in the Coconut framework. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h1a1cdfddb419bb71
Venue
SIGMOD
Year
2019
Pagerank
5.593733e-05
Overall Rank
7,062 | 52.67%
DOI
10.1145/3299869.3320233

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kondylakis_sigmod19,
        title = {{Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm}},
        author = {Kondylakis, Haridimos and Dayan, Niv and Zoumpatianos, Kostas and Palpanas, Themis},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3320233},
        url = {https://dl.acm.org/doi/10.1145/3299869.3320233},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
1,429 The Log-Structured Merge-Bush & the Wacky Continuum 2019 SIGMOD 0.00010685393
1,991 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.2264312e-05
2,667 Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores 2020 SIGMOD 8.1324472e-05
2,882 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.894356e-05
3,532 Key-Value Storage Engines 2020 SIGMOD 7.2054521e-05
4,207 Proteus: A Self-Designing Range Filter 2022 SIGMOD 6.7226406e-05
4,901 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.3483238e-05
5,082 InfiniFilter: Expanding Filters to Infinity and Beyond 2023 SIGMOD 6.2679091e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

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