grafdata

Grafdata is a platform for graph-based data management and analysis designed to model, store, query, and visualize graph-structured data. It combines a property-graph data model with a declarative query language, scalable storage engine, and built-in visualization tools to support workflows ranging from data integration to advanced analytics. It is used in domains such as social networks, knowledge graphs, and fraud detection.

Development history: The project began as a collaborative research effort among universities and industry partners in the early 2010s, with early public releases that established core graph data model and query capabilities. It evolved through several major releases introducing distributed storage, strong consistency options, and an analytics-focused extension. The Grafdata Foundation currently maintains the project, with active contributions from a diverse community.

Architecture and features: Grafdata uses a labeled property graph model, where nodes and edges carry attributes. It supports a declarative graph query language, graph traversals, pattern matching, and analytics operators (centrality, shortest path, community detection). The storage layer supports indexing, caching, and optional distributed deployment. It includes visualization dashboards and API access for integration with data pipelines.

Adoption and impact: Grafdata has been adopted by academic labs and startups for building knowledge graphs, supply-chain graphs, and social network analytics. It emphasizes interoperability with standard data formats and integration with data governance and privacy controls. The ecosystem includes connectors to common data sources and export options.

Licensing and availability: Grafdata is released under a permissive open-source license, with commercial options for enterprise features and support. The project emphasizes an open governance model and community-driven development.