Videos

Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But RDBMS cannot model or store data and its relationships without complexity, which means performance degrades with the increasing number and levels of data relationships and data size. Additionally, new types of data and data relationships require schema redesign that increases time to market. A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL. Join this webinar to learn why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships. This is a recording of our 19 March 2015 webinar, delivered by Ryan Boyd, Developer Relations at Neo4j. Download the free ebook From RDBMS to Graph Databases: https://neo4j.com/whitepapers/rdbms-developers-graph-databases-ebook/ #RelationalDatabases #RDBMS #GraphDatabase