The world is getting closer day by day. Brands are trying their best to promote themselves in all countries to capture a vast audience. But as your business grows, you need statistics to know how each entity performs to expand your business. Earlier, documentation was given preference to gather and collect data. But in 2018, things took a turn.

Many of you must have heard about the term graph data and analytics. But what is a graph database? People lack complete awareness about graph databases and analytics and how it supports new-age business models. However, after you are done reading this post, you’ll have a clear picture of what and how things work around this topic.

What is a Graph Database?

The graph database model is one of the only models that suggest that different business entities are pre-connected. It means that everything related to your business, whether it’s your investors, customers, sales, profits, and other entities, has a relationship with each other. The graph database plays a vital role to understand the connection between them.

According to a few reports, in 2018, the database and analytics market started to grow. And by the end of 2022, it will grow with 100% capacity.

How does it work?

Instead of collecting and recording data in a list format, the graph database works in a graph algorithm format. If you’ve ever noticed on sites like LinkedIn, you would have possibly seen the database graph that shows you how many people viewed your post. You get clarity on how many people check your position, from which organization and background they come from, their geographical location, and much more. It is a perfect example of graph database and analytics.

How is it different from a document database?

To collect and arrange data is a lot more time-consuming in comparison to preparing graphs. While preparing the documentation database, you keep the data separately related to individual business entities in different tables. Furthermore, it takes hours to join the tables and get the actual result, contributing to better business decision-making and realizing opportunities.

Whereas, in the case of a graph database, as soon as you start putting in data, it begins to connect the different business entities and find their meaningful relationships. So, it is almost double the speed you get to get accurate results. And additionally, you get the power of realizing your business strength and opportunities to make the most out of it.

What benefits do you achieve from the graph databases?

  1. You only have to work on problems indicated in the graphs rather than assuming what’s wrong.
  2. It gives you access to update the data in real-time. It takes new inquiries and responds to them at the same time.
  3. Suppose you want to adjust the data model; you can add or reduce vertices from the data model to see immediate results.

As an answer to the question, what is a graph database? There is a lot more you can discover about it online. To learn everything about them before you decide to invest in them, get in touch with a graph database consultant to understand how profitable it will be for your business. As it helps get a holistic approach to all data and gain insight about the connections between each.

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