What is a Graph Database?
A Graph database is a type of database that uses the concept of graphs to store data. This means that instead of storing data relationally (in the form of tables), a graph database stores data in the form of nodes and edges. Nodes are vertices that store the data, while an edge represents the relationship between nodes.
A simple example of a graph database is a family tree, which describes the members of the family and the relationships between them. Today, graph databases are used by many big corporations in the social media space to represent the various patterns and relationships with their users. They are also used by e-commerce giants to show product recommendations to their users.
Other applications of a graph database include:
- Fraud detection
- Network management
- AI knowledge graphs
- Supply chain mapping
Top 10 Open Source Graph Databases in 2024
Have you ever seen LinkedIn and wondered how first-degree and second-degree connections are found and displayed on the application? Have you ever observed how you see product recommendations on e-commerce websites like Amazon?
Thanks to Graph databases, the above user experience is enhanced by bringing a lot of personalization to it. Graph databases open a lot of possibilities in terms of data manipulation and visualization. In this article, we will discuss what a graph database is, why it is used, and the 10 best open-source graph databases that businesses and developers could choose from.
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