Transaction management across data stores Online publication date: Mon, 10-Dec-2018
by Ricardo Jimenez-Peris; Marta Patiño-Martinez; Iván Brondino; Valerio Vianello
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 12, No. 4, 2018
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 key-value data stores, document-oriented data stores and graph databases. This scenario presents new challenges such as data model heterogeneity and data consistency. There could be inconsistencies in case of failures during business actions requiring to update data scattered across different data stores owing to the lack of transactional consistency across data stores. In this paper we propose an ultra-scalable transactional management layer that can be integrated with any data store with multi-versioning capabilities. This layer has been developed in the context of the FP7 CoherentPaaS European Project where it was integrated with six different data stores, three NoSQL data stores and three SQL-like databases. We particularly focus on the ultra-scalable transaction management API and how it can be easily integrated in any versioned data store.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook