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Neo4j is a really fast and scalable graph database, it seems that it can be used on business projects and it is free, too!
At the same time, there are no RDF triple stores that work well with large data or deliver a high-speed access. And what is more, free RDF triple stores perform even worse.
So what is the advantage of RDF and RDF triple stores to Neo4j?
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RDF stands for Resource Description Framework and it's a W3C standard for data exchange in the Web. It's an exchange model that represents data as a graph, which is the main point in common with the Neo4j property graph.
Since the Neo4j graph database is not a triple store, it is not equipped with a SPARQL query engine. However, Neo4j offers Cypher and for many semantic applications it should be possible to translate SPARQL to Cypher queries.
The Resource Description Framework (RDF) represents a main ingredient and data representation format for Linked Data and the Semantic Web. It supports a generic graph-based data model and data representation format for describing things, including their relationships with other things.
An RDF triple contains three components: the subject , which is an RDF URI reference or a blank node. the predicate , which is an RDF URI reference. the object , which is an RDF URI reference, a literal or a blank node.
RDF and SPARQL are standards, so you have a choice of multiple implementations, and can migrate your data from one RDF store to another.
Additionally, version 1.1 of the SPARQL query language is quite sophisticated (more expressive than most SQL implementations) and can do all kinds of queries that would require a lot of code to be written in Neo4J.
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