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


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
Learn MoreGraph 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.
Explore AgensGraph Enterprise


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.
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 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 | O | X | X | X |
| OrientDB | O | X | O | O |
| CosmosDB | O | X | O | O |
| Neptune | O | X | X | X |
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