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Primerjava NewSQL podatkovnih baz NuoDB in VoltDB
ID SILA, JERNEJ (Author), ID Bajec, Marko (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/5114378d-70ab-4656-8991-11a2ddf2dc1c

Abstract
V diplomski nalogi sta predstavljena dva sistema za upravljanje s podatkovno bazo (NuoDB in VoltDB), ki spadata med tako imenovane podatkovne baze NewSQL. Gre za razred relacijskih in porazdeljenih podatkovnih baz, ki odpravlja režije, ki pestijo tradicionalne relacijske podatkovne baze pri doseganju razširljivosti in visoke prepustnosti podatkov. Opisane so relacijske baze na splošno, definicija razširljivost in načini za doseg le-te pri podatkovnih bazah, režije pri tradicionalnih relacijskih bazah in obstoječe rešitve za doseg razširljivosti. Poleg opisa obeh sistemov je podana tudi primerjava med njima ter popularno relacijsko bazo MySQL, bil pa je opravljen tudi preizkus zmogljivosti obeh sistemov na večjem številu računalnikov, ki strežejo podatkovno bazo z namenom opazovanja prepustnosti podatkov.

Language:Slovenian
Keywords:razširljivost, NuoDB, podatkovne baze, podatkovne baze NewSQL, SUPB, VoltDB
Work type:Undergraduate thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2015
PID:20.500.12556/RUL-30666 This link opens in a new window
Publication date in RUL:25.03.2015
Views:1374
Downloads:388
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Secondary language

Language:English
Title:Comparison of NewSQL databases, NuoDB and VoltDB
Abstract:
Thesis presents two database management systems (VoltDB and NuoDB) which fall under so-called NewSQL databases. They are class of relational and distributed databases which removes overheads that plague traditional relational databases in order to achieve scalable performance and higher data throughput. Here are described relational databases in general, definition of scalability and number of ways to achieve it in databases, overheads of traditional relational databases and existing market solutions. Besides describing these two NewSQL databases, they are compared with MySQL, the most popular relational database and benchmarked on more then one computer in order to observe their throughput.

Keywords:databases, DBMS, NuoDB, NewSQL databases, scalability, VoltDB

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