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.

Graph analytics is an ideal technology to help to tackle the challenges caused by large, disparate, datasets since it becomes more impactful as the volume, velocity and variety of data expands. [2] ...

Graph and big data analytics technologies make a powerful combination. ... transaction and interaction data related to products, and even product intelligence from third-party data sources.

Neo4j®, the world's leading graph database and analytics company, announced the launch of Neo4j Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights ...

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.

I spoke with Dr. Yu Xu, CEO of TigerGraph, about why graph analytics hasn’t been adopted as much as other analytics methods – and why that’s changing. Among the topics we covered: ...

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

Serverless offering with 65+ ready-to-use algorithms boosts model accuracy by up to 80% and delivers 2X deeper insights - no graph expertise needed Graph analytics improves AI decision-making by ...