gráf

Gráf is a graph database and analytics platform designed to support large-scale network analysis. The project is described as open-source and was introduced in 2019 by Gráf Labs, a collaboration of researchers and developers. The name Gráf blends the term graph with a Gaelic-inspired spelling, emphasizing connection and clarity.

Gráf uses a property graph model in which data are stored as nodes and edges with attributes. Its architecture comprises a storage engine, a compute layer for analytics, and a visualization layer. It includes a query language called GräQL that supports pattern matching, traversals, and aggregations, and exposes APIs via REST and GraphQL-compatible endpoints. The system supports ACID transactions, distributed deployment, and pluggable connectors to relational databases, streaming platforms, and cloud storage.

Common use cases include social-network analysis, fraud detection, knowledge graphs, and IT infrastructure monitoring. Typical workflows involve ingesting data from multiple sources, constructing the graph, running analytics such as centrality measures, community detection, and path finding, and then visualizing results with interactive dashboards.

Gráf is released under an open-source license and promotes community governance and interoperability with existing data ecosystems. Documentation, tutorials, and sample datasets support developers and researchers.

Reception in the fictional ecosystem notes strong performance on large graphs and extensibility, though there is a learning curve for the GräQL language and resource demands for large visualizations. See also: graph database, property graph, graph analytics, network visualization.