This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart ...

The fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, an organization keeps all of its data in rows and tables.

Graph database vs. relational database In a traditional relational or SQL database, the data is organized into tables.

Overall, the team found tables to be a rich source of novel entities that should be contained in a knowledge graph. Compared to other sources of new entities, such as news stories and social media ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

"We were young and stupid enough to say let's build a database, how hard can it be," says Emil Eifrem, founder and CEO of Neo4j. He and colleagues stumbled onto the idea when he was serving as CTO ...

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database ...

DSE Graph is a distributed graph database that is built on a back-end columnar database, DataStax Enterprise (DSE), and uses the Apache TinkerPop Gremlin query language.

The big advantage of TigerGraph Insights is that it lets users go back and forth between traditional visualizations of data, such as standard tables, pie charts, line charts, and bar charts, and ...

This week, we are taking a look at TigerGraph, one of the upstart graph database makers that is taking on the incumbent commercial graph database, Neo4j, as well as a slew of open source projects like ...