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Given their flexibility in interlinking heterogenous data, graph databases are often used as a central hub within the enterprise data management ecosystem. While the data graph as such can be queried as an integrated data corpus using existing graph query languages (in Amazon Neptune, we support both SPARQL as a query language over RDF as well as Gremlin over the property graph data model), one key requirement of our customers is to integrate the data graph with external, purpose-built datadblp:conf/semweb/BebeeCGKM0STU19 fatcat:2ck5jtwzizbdxfo22ue54xo2xe