The Future of Marketing: Semantic Databases in Simple Terms





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Published on Feb 16, 2017

Visual and Digital Asset Management solution database structures as we know them, have been around since the early 1990’s. We can all agree that these databases have proven their value and revolutionized the way marketing and creative departments have been able to manage, collaborate, and distribute their digital assets. These relational databases are very well suited to flat data layouts, where relationships between data is one or two levels deep. But what if you are looking for a true enterprise level database that creates relationships with ALL of your assets throughout the entire organization?

Enter the Semantic or Graph Database. These databases are part of the next evolution of Asset Management, they are aimed at datasets that are geared toward dealing with many more distribution channels and connect an entire organization to a single source of truth.

The Key Benefits of a Graph database:

- Performance: a Graph database scales more naturally to large data sets and to datasets with changing or on-the-fly schemas.

- Flexibility: Graph Databases can flex as applications change. Rather restructuring a domain before hand, data teams can add to the existing graph structure without endangering current functionality.

- Searching: Graph Databases can find results in associative data sets – data where information is the aggregation of links between nodes – faster than relational databases.


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