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copied!<p>You originally asked this question for graph databases (like <a href="http://neo4j.org" rel="noreferrer">Neo4j</a>). That's why I'd like to add some notes.</p> <ol> <li>Graph databases use integrated <a href="http://docs.neo4j.org/chunked/milestone/indexing.html" rel="noreferrer">indexing</a> for nodes (and relationships) so the fast initial lookup for the root nodes of your documents is done via that (external or in graph indexes)</li> <li>Additional in graph indexes for paths (actually trees to the root) can be modelled cleaner that just a key-value lookup)</li> <li>If you model your documents as trees of nodes with properties you can do any simple, and complex CRUD operations (also structural)</li> <li>retrieving all documents of a "type" or "class" can again be done by a index (index root nodes to type) or in graph category nodes</li> <li>you can put those "types or class" category-nodes into a hierarchy (or graph) which then can be edited using the usual graph database API</li> <li>traversing the graph can be done using <a href="http://docs.neo4j.org/chunked/milestone/tutorial-traversal-java-api.html" rel="noreferrer">traversers</a> / integrated graph query language (e.g. <a href="http://docs.neo4j.org/chunked/milestone/cypher-query-lang.html" rel="noreferrer">cypher for Neo4j</a>) </li> <li>Loading hierarchical data can either be done by custom importers or a more general sub-graph importer (e.g. <a href="https://github.com/nigelsmall/py2neo/wiki/GEOFF" rel="noreferrer">GEOFF</a>)</li> </ol>

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