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 ...

Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore Graph processing is hot right ...

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.

The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science ...

Spanner Graph, according to Steven Dickens, chief technology advisor at The Futurum Group, will address the increasing demand for advanced data processing and analytics solutions in various ...

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.

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.

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 ...