CERN Accelerating science

CMS Note
Report number	CMS-CR-2012-109
Title	Comparison of the Frontier Distributed Database Caching System with NoSQL Databases
Author(s)	Dykstra, David (Fermilab)
Collaboration	CMS Collaboration
Publication	2012
Imprint	17 May 2012
Number of pages	10
In:	J. Phys.: Conf. Ser. 396 (2012) 052031
In:	Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.052031
DOI	10.1088/1742-6596/396/5/052031
Subject category	Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; CMS
Abstract	One of the main attractions of non-relational "NoSQL" databases is their ability to scale to large numbers of readers, including readers spread over a wide area. The Frontier distributed database caching system, used in production by the Large Hadron Collider CMS and ATLAS detector projects for Conditions data, is based on traditional SQL databases but also has high scalability and wide-area distributability for an important subset of applications. This paper compares the major characteristics of the two different approaches and identifies the criteria for choosing which approach to prefer over the other. It also compares in some detail the NoSQL databases used by CMS and ATLAS: MongoDB, CouchDB, HBase, and Cassandra.
Copyright/License	Preprint: (License: CC-BY-4.0)

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