Gaffer
A graph database framework for storing and querying large-scale graphs with rich properties and in-database aggregation.
What is Gaffer?
Gaffer is a graph database framework built for storing and querying very large graphs with rich properties on nodes and edges. It solves the challenge of handling massive, evolving graph datasets by offering high-performance ingest, automatic in-database aggregation of statistical properties, and flexible querying capabilities. The framework is designed to be scalable and extensible, supporting backends like Accumulo and integration with Apache Spark for advanced analysis.
Data engineers and developers working with large-scale graph data who need to store, aggregate, and query complex entity-relationship datasets with rich properties. It is particularly suited for organizations dealing with high-velocity data ingest and requiring built-in data governance features.
Developers choose Gaffer for its ability to automatically aggregate rich statistical properties directly in the database, its support for high-throughput data ingest, and its flexibility in storage backends and querying. Its extensible design and integration with tools like Apache Spark make it a powerful solution for prototyping and production-scale graph data applications.
Overview
A large-scale entity and relation database supporting aggregation of properties
Use Cases
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