The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

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 ...

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.

Quantzig sheds light on the role of graph analytics in effective data management in its recent release. Analyzing the Potential of Graph Analytics in Tackling the New Big Data Challenge ...

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 ...

Aru Sahni, a Washington, D.C. area technologist, used a graph database to build an application for a client who wanted to better interpret internal corporate data. The graph database seemed to be ...

There's no lack of database choices when it comes to building your next big data analytics platform. Relational data stores, column-oriented databases, in-memory data grids, graph databases, scale-out ...