Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2022, Joseph Hilger, COO, Enterprise Knowledge LLC ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

As part of Data Summit Connect 2020, Joe Hilger, COO and co-founder of Enterprise Knowledge, LLC, and Sara Nash, a technical analyst with the consultancy, presented a presented a pre-conference ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

As enterprises continue to invest heavily in advanced analytics and large language models (LLMs), graph technology has become one of the most favored approaches for setting up the data stack. It ...

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...