What does GDB mean in DATABASES

A graph database is a type of NoSQL database that uses a graph model to store and query data. It uses nodes and relationships rather than tables and records to store data which allows for representing complex data structures better than more traditional databases.

Common use cases of graph databases include social networks, recommendation engines, fraud detection, network analysis, route optimization algorithms and knowledge graphs.

The main difference between a Graph Database and a Relational Database is in how they store the data; while Relational Databases use tables with rows and columns to structure their data, Graph Databases uses nodes with relationships between each other or edges to represent the same information in an interconnected structure. Additionally, Graph Databases are more suitable when dealing with complex inter-relationships amongst the different elements in your datasets since they can be modeled much easier through objects connected by links rather than having multiple relational tables where these inter-connections need to be established via foreign keys.

Yes! One major benefit of using graph databases is performance — because nodes in the graph can be stored together as part of the same set, it makes querying them faster than if they were stored separately in relational tables that would then have to be joined together by tables containing foreign keys referencing each other for example. Additionally, as mentioned before, modeling complex datasets with all their intricate connections feels much simpler when done through objects linked together with relationships rather than having multiple separate related tables.

Learning how to query a graph database largely depends on what language you choose - if you're comfortable working with SQL you'll likely find Cypher (the language developed by Neo4j) quite straightforward; if not however it could be somewhat more challenging since its syntax may take some time getting used too at first. Nonetheless once you get used too it you'll likely find it far easier compared to writing joins across multiple related relational tables!