GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases-Reference-Cited by-同舟云学术

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GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases

Published:2023-02 Issue: Volume:31 Page:100368
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Kim Suneuy^ORCID,Hoang Yvonne^ORCID,Yu Tsz Ting^ORCID,Kanwar Yuvraj Singh^ORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference22 articles.

1. Geospatial big data: challenges and opportunities;Lee;Big Data Res.,2015

2. SQL versus NoSQL databases for geospatial applications;Baralis,2017

3. Assessment of MongoDB's spatial retrieval performance;Duan,2015

4. Spatial data extension for Cassandra NoSQL database;Brahim;J. Big Data,2016

5. Analyzing the performance of NoSQL vs. SQL databases for spatial and aggregate queries;Agarwal,2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal Index Selection Using Optimized Deep Q-Learning Algorithm for NoSQL Database;SN Computer Science;2024-04-27

2. GeoNLU: Bridging the gap between natural language and spatial data infrastructures;Alexandria Engineering Journal;2024-01

3. GDAL and PROJ Libraries Integrated with GRASS GIS for Terrain Modelling of the Georeferenced Raster Image;Technologies;2023-03-22

4. A Novel Approach of Latency and Energy Efficiency Analysis of IIoT With SQL and NoSQL Databases Communication;IEEE Access;2023

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