Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: ZNS : efficient query processing with ZurichNoSQL
Authors: Stockinger, Kurt
Bödi, Richard
Heitz, Jonas
Weinmann, Thomas Oskar
DOI: 10.1016/j.datak.2017.09.004
Published in: Data & Knowledge Engineering
Volume(Issue): 2017
Issue: 112
Page(s): 38
Pages to: 54
Issue Date: 2017
Publisher / Ed. Institution: Elsevier
ISSN: 0169-023X
Language: English
Subject (DDC): 005: Computer programming, programs and data
Abstract: NoSQL data stores have recently gained popularity as an alternative to relational database management systems since they typically do not require a fixed schema and scale well for large data sets. These systems have often been tuned to a number of very specific operations such as writing or reading of large data sets. However, none of these novel systems has been demonstrated to efficiently perform multi-dimensional range queries incorporating many boolean operators, a task which is commonly used in scientific data exploration, data warehousing and business analytics. In this paper we introduce ZurichNoSQL (ZNS) – a novel NoSQL main memory store that supports efficient processing of multi-dimensional point queries and range queries. The key idea of ZNS is to store the data in a column format (compressed column storage) similar to systems used in high performance computing. Moreover, the ZNS architecture is based on a set of low-level main memory techniques ensuring that CPU caches are being used efficiently. Our experimental results comparing to popular NoSQL stores such as FastBit, MongoDB and Spark SQL demonstrate that ZNS significantly outperforms these systems in most cases.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

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