SAN FRANCISCO, April 24, 2019 /PRNewswire/ -- SPARK + AI SUMMIT – Neo4j, the leader in graph database technologies, announced today the launch of Graph Algorithms: Practical Examples in Apache Spark & ...
Neo4j, the graph database and analytics leader, is announcing a partnership with Snowflake that brings Neo4j’s fully integrated, native graph data science solution to the Snowflake AI Data Cloud. This ...
Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders such as ...
Neo4j, a leader in connected data, announced that it has released the preview version of Cypher for Apache Spark (CAPS) language toolkit. This combination allows big data analysts to incorporate ...
Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, ...
How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in ...
A lot has happened in graph land in the last six months. Quick recap: a new player (TigerGraph), Microsoft ramping up its graph play with graph support in SQL Server and CosmosDB, and the number two ...
Sometimes the relationships between the data you’ve gathered are more important than the data itself. (See: Facebook monetizing your list of friends.) That’s when a graph processing system comes in ...
Recently, I had an enlightening conversation with Gemini Data about their approach to creating what I’m calling “semantic connectors.” These connectors will help immensely in making graph ETL work ...
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