This repository contains a collection of Jupyter notebooks with personal experiments on various graph database management systems (DBMS). The goal is to explore how different graph databases work, compare their features, and document useful patterns, queries, and their integrations with Python and PySpark.
- Hands-on experiments with popular graph DBMSs (e.g., Neo4j, Aerospike, Apache Age, Apache Hugegraph, etc.)
- Query language examples (Cypher, Gremlin, GSQL, SPARQL)
- Notes, findings, and comparisons between different tools
These notebooks are intended for educational and experimental purposes. They are not production-ready and may contain incomplete or evolving code and documentation.