Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs Topics Spotlight: AI-ready data centers ...

At its UC 2022 conference this week, the company showed how its moving ArcGIS in the direction of big data with advances in analytics, AI, and even graph databases. Spatial analysis of big data has ...

TigerGraph is a pure graph database, from the ground up. Its data store holds nodes, links, and their attributes, period. Some graph database products on the market are really wrappers built on ...

Xu has a Ph.D. Computer Science from UCSD, 26 patents in distributed systems & databases, led Teradata's big data initiatives, and worked on Twitter's distributed data infrastructure.

This is a strength allowing it to securely process data sets with more capable performance compared to any competing graph database. This makes it the most capable big data analytics database in the ...

Graph analytics is critical to understanding and making sense of your data, in particular when combating fraud. Watch this demo and understand how to focus your investigation and focus your leads ...

Americans spent $3.65 trillion on healthcare in 2018, federal actuaries estimate. That’s an increase of 4.4% over 2017, and it is projected to rise 5.5% per year for the next 10 years until 2027 ...

Dr. Yu Xu is the founder and CEO of TigerGraph, the world’s first native parallel graph database. Dr. Xu received his Ph.D in Computer Science and Engineering from the University of California San ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud.The deal announced today allows users t ...