Graph Databases store information as nodes and edges to map complex relationships between data points. These tools solve the problem of querying deeply interconnected datasets that would require expensive joins in traditional tables. This type of software suits developers and researchers who need to analyze network patterns or build AI memory systems. Self-hosting these apps ensures that sensitive relationship maps and linked data remain on private infrastructure. You can manage the underlying storage and query languages without relying on external cloud services.
This page lists 2 open source tools in the Graph Databases category. The most popular are Memgraph and Atomic Server. Most use the BSL-1.1 or MIT license, and 2 offer an official Docker image.
An in-memory graph database for real-time AI context and analytics using the Cypher query language.
A lightweight headless CMS and graph database for creating, sharing, and modeling linked atomic data.
Join our newsletter to get shiny new open source software delivered to your inbox. Unsubscribe anytime.