Big database stores a review on various big data datastores
Koshy George, Tessy Mathew · 2015
In this age where there is a massive explosion in the data in our surroundings, the traditional way of actually storing and processing the data is no longer feasible. Moreover, the unstructured data that is present cannot be processed by the conventional ways. With the emergence of this data explosion also known as Big Data, a lot of importance has given to actually process and more importantly analyze the data to get the best results being in terms of decision making or predicting the future evens based on the past data at hand. The traditional SQLs have become impractical to process the latest data inflow as it lacks the structure, elasticity requirements and the high scalability. NoSQL or what can be known as Not Only SQL actually help find by a way out of the traditional approach and help process the unstructured data. For Big Data to function at its best, it needs the help of specialized databases that help in storing and processing data when needed. There are 4 main categories of the Datastores used in Big Data namely Key-Value Pair Datastore, Column Oriented Datastore, Document Oriented Datastore and Graph Datastores.