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.
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.
SQL + Cypher: Hyper Query Processing
AgensGraph supports both SQL and Cypher, the efficient graph query language. This hybrid query technology ensures top performance for creating, modifying, and querying graph data, combining the strengths of relational and graph database.
Maintaining Familiarity for PostgreSQL Developers
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)
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)
AgensGraph is an enterprise-level graph database management system that efficiently stores and handles various data types, including relational data from your existing systems
Graph
Relational
Document
Key-Value Store
AgensGraph
O
O
O
O
ArangoDB
O
X
O
O
Neo4j
OrientDB
CosmosDB
Neptune
O
X
X
X
O
X
O
O
O
X
O
O
O
X
X
X
Become a Part of Our Community
Our mission is to enable developers and organizations to leverage the combined power of graph and SQL technologies, making it easier and faster to build innovative, efficient applications
