eprintid: 46549
rev_number: 11
eprint_status: archive
userid: 1903
dir: disk0/00/04/65/49
datestamp: 2017-06-22 11:03:15
lastmod: 2019-03-13 14:49:50
status_changed: 2019-03-13 14:49:50
type: article
metadata_visibility: show
creators_name: Jiménez Peris, Ricardo
creators_name: Patiño Martínez, Marta
creators_name: Brondino, Ivan
creators_name: Vianello, Valerio
title: Transaction management across data stores
publisher: Inderscience Publishers
rights: by-nc-nd
ispublished: unpub
subjects: informatica
full_text_status: public
keywords: Data management; NoSQL; Consistency
abstract: Companies have evolved from a world where they only had SQL databases to a world where they use different kinds of data stores, such as key­value data stores, document­oriented data stores and graph databases. The reason why they have started to introduce this diversity of persistency models is because different NoSQL technologies bring different data models with associated query languages and/or APIs. However, they are confronted now with a problem in which they have the data scattered across different data stores. This problem lies in that when a business action requires to update the data, the data reside in different data stores, and they are subject to inconsistencies in the event of failure and/or concurrent access. These inconsistencies appear due to the lack of transactional consistency that was guaranteed in traditional SQL databases but is not guaranteed either within the NoSQL data stores or across data stores and databases. CoherentPaaS comes to remedy this need. CoherentPaaS provides an ultra­scalable transactional management layer that can be integrated with any data store with multi­ versioning capabilities. The layer has been integrated with six different data stores, three NoSQL data stores and three SQL­like databases. In this paper, we describe this generic ultra­scalable transactional management layer and focus on its API and how it can be integrated in different ways with different data stores and databases.
date_type: published
date: 2017
publication: International Journal of High Performance Computing And Networking
pagerange: 0-10
institution: ETSI_Informatica
department: Lenguajes
refereed: TRUE
issn: 1740-0562
official_url: http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijhpcn
comprojects_type: FP7
comprojects_type: FP7
comprojects_type: CM
comprojects_type: MINECO
comprojects_code: 611068
comprojects_code: 619606
comprojects_code: S2013TIC-2894
comprojects_code: TIN2013-46883
comprojects_acronym: CoherentPaaS
comprojects_acronym: LeanBigData
comprojects_acronym: CLOUD4BIGDATA
comprojects_acronym: BigDataPaaS
comprojects_leader: UNIVERSIDAD POLITECNICA DE MADRID
comprojects_leader: UNIVERSIDAD POLITECNICA DE MADRID
comprojects_leader: 
comprojects_leader: 
comprojects_title: A Coherent and Rich PaaS with a Common Programming Model CoherentPaaS
comprojects_title: Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics
comprojects_title: 
comprojects_title: 
citation:   Jiménez Peris, Ricardo and Patiño Martínez, Marta and Brondino, Ivan and Vianello, Valerio  (2017).  Transaction management across data stores.   "International Journal of High Performance Computing And Networking" ;   pp..  ISSN 1740-0562.    
document_url: https://oa.upm.es/46549/1/INVE_MEM_2017_257448.pdf