Multi-Model Hybrid Graph Database Solution.

AgensGraph combines the strengths of Relational + Graph databases into one powerful solution. This hybrid approach offers exceptional efficiency in managing complex and interconnected data

Latest Development

What is a Graph Database?

In today's data-driven world, the complexity and interconnected nature of data have increased dramatically. Traditional relational databases often struggle to efficiently manage these complex relationships. This is where a graph database comes into play

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Discovering Deep Insights in Complex Datasets

Graph databases excel at managing connected data and complex queries, making them ideal for applications like social networks, fraud detection, and supply chain management.

Discover how AgensGraph can revolutionize your data strategy by seamlessly integrating relational and graph database models to enhance your organization's efficiency and insights.

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Apache AGE™: An Innovative Graph Database Solution support by Bitnine Global Inc.

Apache AGE™ is a cutting-edge graph database solution that functions as an extension of PostgreSQL, providing graph query modeling for relational database users. Apache AGE™ originated from AgensGraph™, a multi-model graph database developed by Bitnine. It was donated to the Apache Software Foundation in April 2020, where it began its incubation process. In May 2022, it was approved as a Top-Level Project of the Apache Software Foundation.

Maintaining Familiarity for PostgreSQL Developers

Cypher in SQL


SELECT n.name
FROM history, (MATCH (n:dev) RETURN n) AS dev WHERE history.year > n.year::int;

name
--------
someone

(1 row)

SQL in Cypher


MATCH (n:dev) WHERE n.year::int < (SELECT year FROM history WHERE event = 'Agens Graph')
RETURN properties(n) AS n;

-----------------------
n
-----------------------
{'name': 'someone', 'year': 2015}

(1 row)

AgensGraph	O	O	O	O
ArangoDB	O	X	O	O
Neo4j	O	X	X	X
OrientDB	O	X	O	O
CosmosDB	O	X	O	O
Neptune	O	X	X	X