Dydra vs Eclipse RDF4J

Dydra is a cloud graph database for highly connected data, including social networks. It stores information as a property graph and supports SPARQL 1.1 queries and updates through a standard endpoint for each repository. Repositories import RDFa, RDF/JSON, N-Quads, N-Triples, RDF/XML, TriG and Turtle, and export N-Triples, Turtle and RDF/XML. Dydra also provides a standard REST API and a Ruby client gem that can operate as a command-line interface. The service says it manages versioning, disaster recovery and performance for the data store. Described applications include social networking, movie relationships and transaction logs. A free Basic use plan has limited resources: public evaluation accounts allow five queries per second and repositories should remain at or below one million statements. Federation is disabled for public accounts, and the default graph is fixed to the repository default. Customers retain data ownership and may delete data. Dydra is headquartered in Berlin, Germany.

Eclipse RDF4J is a modular Java framework for parsing, storing, querying, and reasoning over RDF data. It supports SPARQL 1.1 query and update, and its API can access remote RDF repositories in the same way as local ones. Supported formats include RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, and TriX. Storage options include a transactional in-memory store with optional disk persistence and a transactional Native Store aimed at medium-sized datasets around 100 million triples. Extensions add full-text search, RDFS inferencing, rule-based reasoning, SHACL and SPIN validation, and geospatial queries. The SDK bundles libraries, Server, Workbench, Console, and Javadoc API; Workbench includes a web interface with a SPARQL editor. Developers can use Maven artifacts or download an SDK zip or onejar. RDF4J is free under the Eclipse Distribution License, version 1.0. The latest stable release, 6.1.0, requires Java 25 or newer. The project describes its core databases as mainly intended for small to medium-sized datasets and notes third-party stores may scale further or offer additional features.