is highly compatible with the Apache AGE graph engine. Store and query knowledge graphs using standard ANSI SQL and the openCypher graph query language on the same database cluster.
Scenarios
Common use cases for graph databases:
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Fraud detection
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Master data management
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Product recommendations
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Identity and relationship management
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Personalized experiences
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Knowledge graphs
Features
provides these features:
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Cypher queries: Query graphs using the openCypher graph query language.
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Hybrid queries: Combine SQL and Cypher in a single query.
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Graph management: Create and manage multiple graphs.
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Hierarchical management: Organize nodes and edges by type using graph labels.
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Property indexing: Create indexes on nodes, edges, and their properties.
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Full PostgreSQL support: Supports the features of PostgreSQL and .
Data visualization
Apache AGE Viewer is a web-based tool for visualizing and exploring graph query results as graphs and tables. It is optimized to efficiently process large-scale graph data and supports various graph algorithms for insight discovery. The project is evolving into a graph data management and developer platform with support for multiple relational databases. Apache AGE Viewer community documentation.