It’s now well established that the underpinning of your data stack, the first tool you purchase to kickstart your data governance initiatives, should be a data catalog. According to Gartner, data catalogs are the foundation of modern data and analytics.

But not all data catalogs are created equal, as those powered by antiquated relational technology are rigid, inflexible, and limited in their functionality. Modern data catalogs, however, powered by a knowledge graph with SPARQL automation, offer myriad advantages over their long-in-the-tooth predecessors.

Automatic Business Insights

A data catalog built on a knowledge graph with SPARQL automation empowers you to query your metadata and automatically generate business insights to drive immediate optimization and improvement.

For example, your data catalog can help:

Infinite Flexibility

On top of that, building your data catalog on a knowledge graph gives you the technical flexibility to catalog anything! I’m not talking about only the tables, columns, and dashboards you’ve already considered, but even proprietary data systems, new technology, business questions, decisions, business processes, metrics, ML models… even your people! And you can easily extend a knowledge graph model to represent new concepts, relationships, and data types that you haven’t before defined. No ifs, ands, or buts.

How does this benefit you? Consider some use cases data catalogs support:

Powerful Today, and Prepared for Tomorrow

The bottom line? A knowledge-graph-powered data catalog supports your known use cases of today and your unknown use cases of tomorrow, protecting your investment for the future, whatever it brings.

Learn more about how’s knowledge-graph powered data catalog can benefit your enterprise business.