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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

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Latest Development

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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.

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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

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)
  
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AgensGraph is an enterprise-level graph database management system

that efficiently stores and handles various data types, including relational data from your existing systems

GraphRelationalDocumentKey-Value Store
AgensGraphOOOO
ArangoDBOXOO
Neo4jOXXX
OrientDBOXOO
CosmosDBOXOO
NeptuneOXXX

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

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Get Involved with AgensGraph

Bitnine Global is revitalizing Open-Source AgensGraph