ArcadeDB Use Cases

March 23, 2026 · View on GitHub

A collection of self-contained projects demonstrating how to use ArcadeDB.

Each use case lives in its own directory with a Docker Compose file, SQL schema/data files, and runnable demos via both curl and a Java program.

Use Cases

Directory	Description	ArcadeDB features
recommendation-engine	Intelligent product and content recommendations	Graph traversal, Vector similarity, Time-series
knowledge-graphs	Academic research knowledge graph with co-authorship and citation networks	Graph traversal, Vector similarity, Full-text search, Time-series
graph-rag	Graph RAG system combining knowledge graphs with vector search for retrieval-augmented generation	Graph traversal, Vector similarity, Full-text indexing, Neo4j Bolt, LangChain4j
fraud-detection	Fraud detection system unifying graph, vector, and time-series signals	Graph traversal, Vector similarity, Time-series, Cypher
realtime-analytics	Unified IoT and service monitoring platform	Time-series, Graph traversal, Cypher
social-network-analytics	Social network analytics with materialized view dashboards	Materialized views, Graph traversal, Time-series, Polyglot (SQL + OpenCypher)
supply-chain	Supply chain management with multi-tier visibility	Graph traversal, Vector similarity, Time-series, PostgreSQL protocol, JavaScript
iam	Identity & Access Management	Graph traversal, Time-series, Vector similarity, PostgreSQL protocol, Python
customer-360	Unified customer view with identity resolution and churn prediction	Graph traversal, Documents, Vectors, Full-text search, OpenCypher
feature-store	Unified ML feature store for fraud, recommendations, and maintenance	Graph traversal, Vector similarity, Time-series, PostgreSQL protocol, JavaScript

Each use case directory contains: