Blockchain and NoSQL: Enhancing Throughput via a Deep Learning-Based Hybrid Architecture

Any data structure used to store information can be considered a database. Blockchain technology, at its core, is no more than a ledger to store information about transactions. In recent years, such technology has gained immense popularity in a wide range of applications. However, scalability and throughput are major challenges of the Blockchain technology since applications and APIs have much lower throughput compared to non-Blockchain ones. Several studies showed that the integration of the NoSQL paradigm along with a Blockchain pipeline enhances the overall throughput and scalability of the system, as well as the possibility of handling both on-chain and off-chain data. The goal of this paper is therefore to study how the advantages of both technologies can be capitalized on to enhance the system capabilities and to finally put forward a novel hybrid architecture that mixes NoSQL and Blockchain characteristics using Deep Learning techniques.