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Everything You Need To Know About Graph Database

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In today’s world, data is everywhere, and it is the backbone of every major company and small company alike. From tech giants to small clothing startups, data is required in production, finance, marketing, supply chain, and every other aspect of the business.

The need to acquire, manage, and access it will only grow in the future.

A graph database is more than just a development tool, but it helps companies highlight and establish connections within data points. It is a complex technology with a lot of mathematics in the background. The connections that it highlights between data sets give the business insight into making proper decisions, streamlining operations, and course correction.

But, what is a graph database?

To understand the actual complexity of graph technology and graph database, you need to peruse graph theory to understand how it represents relationships between two entities properly.

It is commonly composed of two main elements: relationships and nodes. It is the best system that would provide users with a conceptual view and understanding of the data closely, which resembles the relationships amongst data in the real world—using such a system, you can highlight and establish interconnections with two separate data points in the data set.

Herein, an individual or an entity like a person, place, category, thing, or any other piece of data is identified as a node. On the other hand, a relationship signifies how two or more nodes are associated.

How does a graph database work?

In a graph database, the relationship between two or more nodes takes more importance than any other metric.

Since the whole process has a connection-first approach, it crunches every part of the data lifecycle.

Unlike other databases, there is no requirement to use foreign keys and outside processing to establish data connections and relationships.

So, when using a graph database, the data is more expressive, accessible, and simpler when compared to the type of data you would get from relational databases.

Reasons why graph database technology is important

Many pieces of technology are floating around promising one thing or another. But, there is no room for trial-and-error when running a business and requiring a solid business solution to help you deal with a problem.

In a business world, there are deadlines, budgets, standards, and other things that leave no room for the business to try out tech that might work.

So, why should you care about graph database technology?

1. Performance

There is no denying that your data needs are set to grow in the coming years. The relationship or connections between your data will grow as the data grows. So, graph database technology is relevant now, but it will become a necessity in the future.

Moreover, as the number and depth of your data grow, the relationship’s complexity amongst the nodes will grow. The graph database performance will stay constant no matter how complex the data gets.

2. Flexibility

Graph database technology gives the IT department and data architecture teams the flexibility to adapt to the dynamic requirements of the business as the whole technology is highly adaptable.

In addition, the graph database technology gives more flexibility as you take charge of the technology instead of adjusting to the technology.

3. Agility

In today’s world, companies make many investments in their research and development. So, the technology behind a graph database supports today’s agile practices as the data can adjust in real-time with the rest of the applications of the business.

So, now you know what a graph database is and how the technology works. Graph technology is here to stay for sure, and it will soon become an essential part of every industry.

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