BigDataFr recommends:
Týr: Efficient Transactional Storage for Data-Intensive Applications
[…] As the computational power used by large-scale applications increases, the amount of data they need to manipulate tends to increase as well. A wide range of such applications requires robust and flexible storage support for atomic, durable and concurrent transactions. Historically, databases have provided the de facto solution to transactional data management, but they have forced applications to drop control over data layout and access mechanisms, while remaining unable to meet the scale requirements of Big Data. More recently, key-value stores have been introduced to address these issues. However, this solution does not provide transactions, or only restricted transaction support, compelling users to carefully coordinate access to data in order to avoid race conditions, partial writes, overwrites, and other hard problems that cause erratic behaviour. […]
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By Pierre Matri1, Alexandru Costan 2, 3, Gabriel Antoniu 1, Jesús Montes 1, María Pérez 1
Source: hal.archives-ouvertes.fr
1 – UPM – Universidad Politécnica de Madrid [Madrid]
2 – INSA Rennes – Institut National des Sciences Appliquées – Rennes
3 – KerData – Scalable Storage for Clouds and Beyond
IRISA-D1 – SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique