Graph Database Tools & Datasets for Python Data Engineering

A distributed, open-source database with a flexible data model supporting documents, graphs, and key-values in a single engine. ArangoDB provides a unified query language (AQL) that allows joining data across different models.

A multi-model open-source NoSQL database that supports graph, document, key-value, and object models. OrientDB offers SQL-like queries on graph data and is well suited for applications with complex relationships and connected data.

A scalable graph database optimized for storing and querying large graphs with billions of vertices and edges across a multi-machine cluster. Titan supports various storage backends including Cassandra, HBase, and BerkeleyDB.

Apache Spark's API for graphs and graph-parallel computation. GraphX extends the Spark RDD with a graph abstraction, providing a set of fundamental operators and optimized algorithms for graph analytics like PageRank and connected components.

An iterative graph processing system built for high scalability, used at Facebook to analyze the social graph. Giraph processes billions of vertices and edges efficiently on Hadoop infrastructure using a vertex-centric programming model.