discusses native vs non-native graph databases bylined by Jim Webber, Chief Scientist of Neo4j. As the graph database industry grows in popularity, more organizations are recognizing the value of connected data and are investigating new ways to become a connected enterprise. In this article, Jim discusses the key attributes of graph database: integrity, performance, efficiency and scalability. An excerpt:
Native graph databases are built specifically for storing graph data and handling graph workloads across the entire stack. By contrast, non-native databases are optimized for some other storage model (e.g. columns, documents) and either bolt-on a graph API on top of an existing different database or attempt to wedge-in limited graph operations into an existing non-graph query language.
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