It also enables querying multiple graphs at the same time. Flexible: allows you to perform openCypher queries, which makes complex queries much easier to write.Powerful: adds graph database support to the already popular PostgreSQL database: PostgreSQL is used by organizations including Apple, Spotify, and NASA.As an extension of PostgreSQL, AGE supports all the functionalities and features of PostgreSQL while also offering a graph model to boot. There is a strong need for cohesive, easy-to-implement multi-model databases. Users with a relational database background who require graph data analytics can use this extension with minimal effort because they can use existing data without going through migration. It provides plenty of robust database features essential to the database environment, including ACID transactions, multi-version concurrency control (MVCC), stored procedure, triggers, constraints, sophisticated monitoring, and a flexible data model (JSON). AGE is optimized for handling complex connected graph data. Since AGE is based on the powerful PostgreSQL RDBMS, it is robust and fully featured. The basic principle of the project is to create a single storage that handles both the relational and graph data model so that the users can use the standard ANSI SQL along with openCypher, one of the most popular graph query languages today. AGE is an acronym for A Graph Extension and is inspired by Bitnine's AgensGraph, a multi-model database fork of PostgreSQL. Is a leading multi-model graph database Graph Processing & Analytics for Relational DatabasesĪpache AGE is an extension for PostgreSQL that enables users to leverage a graph database on top of the existing relational databases.
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