ArcadeDB Use Cases

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

Structure

Each use case directory contains:

• docker-compose.yml — ArcadeDB instance (pinned version)
• setup.sh — creates the database and loads schema + data
• sql/01-schema.sql — vertex/edge type definitions
• sql/02-data.sql — sample data
• queries/queries.sh — all queries via curl
• java/ — standalone Maven project running the same queries via arcadedb-network
• README.md — quickstart guide