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Holistic Disaster Recovery Approach For Big Data NoSQL Workloads

Aharon Abadi, Ashraf Haib, Roie Melamed, Alaa Nassar, Aidan Shribman, and Hisham Yasin (IBM Watson Health)

In recent years, NoSQL databases have emerged as an answer to Internet scale datasets. However, these solu- tions do not support out of the box the necessary backup, restore and disaster recovery capabilities required by many big data scenarios. In this paper we address this gap: we present a novel disaster recovery approach de- signed for big data NoSQL workloads. This approach can support low recovery point and time objectives at low costs. Our approach is highly scalable and elastic, based on open source components and suitable for any document-based NoSQL solution, which makes it highly attractive for diverse big data workloads.