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NoSQL database types explained: Graph Posted on : Jan 01 - 2022

NoSQL graph databases focus on the relationships between pieces of data. Two common frameworks bring different advantages and disadvantages over other NoSQL database types.

The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box.

An example of the new technologies applied could be opting for solutions that require more storage space. In the past, we used to mind storage requirements more, but lately, it has become less of an issue as a result of the cost of this resource dropping significantly.

Now, for the metaphorical box, it can represent the strict limits of a SQL schema. We are opening it up to find out what else there is that can allow us to connect data in a meaningful whole, manipulate it and exploit it with the least friction.

What is a graph database?

A graph database certainly is outside that box. It focuses on relationships between pieces of data as much as it does on the data itself, thus managing to store data purposefully. Using a graph data model positively helps visualize data. It is highly appreciated as in the world of big data; it is always good to be able to make a quick sense of the data in front of you.

The elements

Based on the graph theory, these databases consist of nodes and edges. Nodes are the entities of a graph database. Simply put, they are the agents and objects of relationships and can be presented as answers to questions "who" and "whom." View More