Demystifying Object-based Big Data Storage Systems

TL;DR

This paper surveys various big data storage architectures, detailing their structures and providers, to clarify the landscape of object-based and other storage systems in the era of digitization.

Contribution

It provides a comprehensive architectural overview of big data storage systems, categorizing them into five main types and analyzing offerings from different service providers.

Findings

Detailed architectural views of storage systems

Classification of storage architectures into five categories

Insights into provider-specific storage solutions

Abstract

Today's era is the digitized era. Managing such generated big data is an important factor for data scientists. Day by day, it increases the demand for big data storage systems. Different organizations are involved in providing storage-related services. They follow the different architectures or storage models for storing big data. In this survey paper, our target is to highlight such storage architectures which provided by different renowned storage service providers. On an architectural basis, we divide the big data storage systems into five parts, Distributed file systems (DFS), Clustered File Systems (CFS), Cloud Storage, Archive Storage, and Object Storage Systems (OSS). Also, we reveal a detailed architectural view of the big data storage systems provided by the different organizations under these parts.