DataStax I hope that this article gives you some great ideas on how a graph database might make sense for your application, and how to get started with Gremlin and DataStax Enterprise Graph.

To start building your knowledge graph, set up a Neo4j database. It will be the backbone of your project. You’ll use the Cypher query language to add, change, and find complex network data.

This adaptability and efficiency in handling relational data make graph databases a pivotal component in modern data analytics and business intelligence strategies. Jump to: The primary function ...

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 ...

For any use cases that require the ability to create relationships between data, the graph database is the way to go. SEE: 40+ open source and Linux terms you need to know (TechRepublic Premium ...

TigerGraph chose Neo4j because it's a native graph database and a market leader ... based SDK called GraphStudio to enable users to create graph models, map and load data sources and build ...

We may make money when you click on links to our partners. Learn More. Graph databases are now clearly riding the upward trend toward mainstream adoption for which the sector has been waiting for ...

Where to go from here? A few weeks back, George Anadiotis in these pages argued that graph databases make a logical launchpad for AI. We're going to look at it from the bottom up: graph databases ...

Valkyrie's team of scientists will achieve an unprecedented milestone: building and deploying the first-ever knowledge graph database beyond Earth's atmosphere. "Valkyrie has tirelessly ...

That’s where David Meza, acting branch chief of people analytics and senior data scientist at NASA, believes graph technology can help. His team is building a talent mapping database using Neo4j ...