Semantic / Graph DataBases and the evolution of Digital Asset Management

Visual and Digital Asset Management solution database structures, as we know them, have been around since the early 1990s.

We can all agree that these databases have proven their value and have 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 are 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 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: Graph databases scale 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 than restructuring a domain beforehand, 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.

Join IO Integration for a very informative Webinar on November 15th. We will be taking a deeper dive into Semantic databases and revealing how the power of creating unlimited relationships between your assets, within your organization, can deliver efficiency and logic like never before.