Why not understand and use the Amazon database and apply Amazon data to your own Amazon store operations?
According to DB-Engines, graph databases have become the fastest growing category of databases over the past three years. Amazon's entry into the graph database market will accelerate this growth. More importantly, this provides businesses with more choices. As with all markets, more competition and choice will lead to a larger market and better products. Ultimately, users will benefit.
1. What is Amazon Graph Database?
The basic elements that make up a graph are nodes (points) and relationships (lines). Both nodes and relationships can set their own properties. Nodes are often used to represent entities, but dependencies can also represent entities. The relationship between nodes is an important part of graph database. A lot of related data can be found through relationships, such as node sets, relationship sets, and their attribute sets. This is the Amazon Graph Database.
2. When should Amazon Graph Database be used?
Amazon Database Like any popular technology, someone might apply a graph database to any type of problem. But it is still very important to understand the application areas where graph databases excel.
For example, Amazon graph databases are often used in the following problem domains:
Social Networking; Recommendations and Personalization, Customer
Fraud detection; asset management; many-to-many relationships; high-value relationships* Low latency at scale
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