Today's fastest graph database with the smallest memory footprint is RedisGraph. Its efficiency and query simplification enable applications to rapidly collect, process and analyze complex, connected ...

What do you get when you combine two of the most up-and-coming paradigms in data processing -- streaming and graphs? Likely a potential game-changer, which DARPA and others are pivoting to invest in.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Graphs are also useful for a range of other data analysis tasks. RelationalAI lists demand prediction and customer churn detection among the use cases supported by its newly upgraded Snowflake app.

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 analysis is a whole new area for GIS, according to Esri Founder and President Jack Dangermond, with the potential to promote various new kinds of data discovery, as graph technology informs ...

“You have predictive analytics, you have prescriptive analytics, you have graph analytics, you have planning, you have rule-based reasoning,” Aref tells The Next Platform.. “The idea here is – ...

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

BANGALORE, India, July 7, 2022 /PRNewswire/ -- AI database firm BangDB has launched the REST APIs for its converged data platform. BangDB is the w ...