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

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

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

The tricky part of Neo4j is learning to work with its Cypher Query Language, which requires thinking graphically. Once you've got that down, writing a Java application that integrates with your ...

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to ...

Neo4j Aura Graph Analytics is available for all data sources through Pandas dataframes in Python. According to GitHub, Python is the most commonly used language for AI.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

Neo4j has been offering AuraDB as a fully managed cloud graph database service that leverages relationships in data and enables ultra-fast queries for real-time analytics and advanced generative ...

--Neo4j ®, a Graph Database and Analytics leader, announced a collaboration with Microsoft to deliver a unified data offering that addresses customers' critical data needs for Generative AI. "By ...

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with ...