apache/age

What it solves

Apache AGE addresses the need for a unified database that handles both traditional relational data and complex graph data. By extending PostgreSQL, it allows organizations to store and query graph-based relationships—such as social networks, fraud detection patterns, or recommendation engines—without needing to maintain a separate, dedicated graph database.

How it works

AGE functions as an extension to PostgreSQL. It enables users to perform queries using the popular openCypher graph query language alongside standard SQL. Because it operates within the PostgreSQL ecosystem, it leverages the existing relational storage engine to manage graph data, allowing for hybrid queries that combine both data models in a single environment.

Who it’s for

It is designed for developers and data engineers who already use PostgreSQL and need to incorporate graph-based analytics into their applications. It is ideal for teams building services that require relationship management, identity tracking, or complex data personalization.

Highlights

• Supports openCypher, a widely used graph query language.
• Enables hybrid querying, allowing SQL and Cypher to be used together.
• Provides full compatibility with PostgreSQL features and ecosystem.
• Supports property indexing on both nodes (vertices) and relationships (edges).
• Allows for querying multiple graphs simultaneously.
• Includes a dedicated visualization tool, AGE Viewer, for exploring graph data.