Polaris: An Interactive and Scalable Data Infrastructure for Polar Science

Summary: Polaris is an open-source interactive data infrastructure for polar science that exploits three workload traits—spatio-temporal queries, uneven data importance, and aggregate-dominance—to avoid fetching irrelevant data. A hierarchical spatio-temporal index storing precomputed aggregates for “data of interest” enables scalable, interactive aggregate queries on large polar datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 14073
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,757 | 25.17%
DOI: 10.14778/3749646.3749719

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
318	Overview of SciDB: Large Scale Array Storage, Processing and Analysis	2010	SIGMOD	0.00027795661
734	The TileDB Array Data Storage Manager	2017	VLDB	0.00017455248
860	The Multidimensional Database System RasDaMan	1998	SIGMOD	0.00015860465
3,615	Efficient Processing of Window Queries in The Pyramid Data Structure	1990	PODS	6.9127616e-05
3,714	An Efficient Query Indexing Mechanism for Filtering Geo-Textual Data	2013	SIGMOD	6.8223298e-05
4,683	ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects	2008	SIGMOD	6.0010961e-05
4,839	ChronosDB: Distributed, File Based, Geospatial Array DBMS	2018	VLDB	5.8875955e-05
5,741	A Demonstration of ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data	2017	VLDB	5.3451775e-05
7,917	Array DBMS: Past, Present, and (Near) Future	2021	VLDB	4.6173899e-05

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