Just another Network site

Graph Databases for Beginners: Native vs. Non-Native Graph Technology

Graph Databases for Beginners:  #GraphDB #LinkedData #BigData #DataScience by @neo4j

  • The graph database world is populated with both technology designed to be “graph first,” known as native , and technology where graphs are an afterthought, classified as non-native.
  • Native graph storage is built to handle highly interconnected datasets from the ground up and is the most efficient when it comes to the storage and retrieval of graph data.
  • Graph storage commonly refers to the underlying structure of the database that contains graph data.
  • Graph databases with native graph storage have underlying storage designed specifically for the storage and management of graphs.
  • Non-native graph storage uses a relational database, a columnar database or some other general-purpose data store rather than being specifically engineered for the uniqueness of graph data.

Read the full article, click here.


@KirkDBorne: “Graph Databases for Beginners: #GraphDB #LinkedData #BigData #DataScience by @neo4j”


Discover the differences between graph technology architected with a “graph-first,” or native approach vs a non-native approach, and learn why they matter.


Graph Databases for Beginners: Native vs. Non-Native Graph Technology

Comments are closed, but trackbacks and pingbacks are open.