An RDF store, also known as a triplestore, is a type of graph database specialized for storing and querying Resource Description Framework (RDF) data. RDF represents facts as subject-predicate-object triples that form a graph structure.
RDF stores provide mechanisms for storing, indexing, and querying collections of RDF triples to support knowledge representation and reasoning. They allow running SPARQL queries to retrieve facts connected by relationships. RDF stores are commonly used for knowledge graphs, semantic web applications, linked open data, and metadata management.
A vector database is designed to efficiently store and query vector representations of data for applications like search, recommendations, and AI.Read more ->
A graph database stores data in a graph structure with nodes, edges and properties to represent and query relationships between connected data entities.Read more ->
Document store database manages collections of JSON, XML, or other hierarchical document formats, providing querying and indexing on document contents.Read more ->
Our CEO Ozan recently joined an episode of the Streaming Caffeine podcast — Streaming Caffeine E10: Ozan from Synnada, about Arrow Datafusion, Rust, Databases, SQL, AI — to discuss our perspective on DataFusion and the future of data infrastructure.