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Graph technology is rapidly being embraced in modern data management thanks to its unique ability to connect data across diverse sources, with Gartner predicting that 80% of data and analytics innovation will be made with it by 2025.

One of the most notable use cases for graph technology is within a graph database. These databases help overcome the issues associated with rigid and brittle relational databases while avoiding potential shortcomings of NoSQL databases, which can struggle when it comes to understanding relationships between data sets.

This buyer’s guide will walk you through everything you need to know when considering a graph DB for analytics and other use cases.

Access your copy today.

Vendor:

Neo4j

Posted:

Mar 9, 2022

Published:

Mar 9, 2022

Format:

HTML

Type:

eBook