Introduction:
The PostgreSQL database management system serves as the foundation for the multi-model graph database known as Agens Graph. Bitnine Global Inc. created and keeps up with it.
Features:
Because it supports both relational and graph data models, it can store, manage, and query both structured and unstructured data in a single database system. Users can quickly visualize links and connections between data points by using a graph data model, which nevertheless allows users to store data in an orderly manner akin to that of a traditional relational database.
With Agens Graph's wide range of graph-oriented capabilities, including graph traversals, pattern matching, and shortest path calculations, users may complete challenging graph analysis tasks. Additionally, it supports a wide variety of query languages, including Cypher and SQL, making it easier for users to interact with graph data using a syntax they are already familiar with.
Agens Graph provides a number of features that are specifically made for using graph data. It offers a variety of graph algorithms, for instance, that may be used to the data to do complex queries and analyses. Examples of these techniques include shortest-path calculations, linked component analysis, and PageRank calculations. Agens Graph supports traversal, the action of moving along the edges of a graph to get from one node to another.
Summary:
For processing graph data in general, Agens Graph is a useful tool. It provides a versatile and scalable solution for managing sophisticated graph data structures and supports a wide range of query languages and graph algorithms, making it an adaptable platform for a variety of applications.
Apache-Age:(https://age.apache.org/)
GitHub:(https://github.com/apache/age)
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