Leading research company Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025. If you’re new to graph and wondering what it can do for your ...

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).

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.

Given this broad applicability, it’s no surprise Gartner believes that graph database technologies will be used in more than 80% of data and analytics innovations, including real-time event ...

The second pressure has been created by the rise of AI, ML, and the various analytics systems. These are nothing more than incredibly intricate, powerful machines which run on data as their essential ...

The second demonstration of the speed of smart graph databases relates to the data preparation preceding analytics. The ease with which data modeling, transformation, and ETL jobs are facilitated—in ...

Supports SQL analytics, streaming data, machine learning and graph processing. Data science on petabyte-scale data. Can be run in standalone mode or on various cloud platforms.

Neo4j®, the world's leading graph database and analytics company, announced the launch of Neo4j Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with ...

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things.Plus, there's a bunch of RDF-based graph ...

Three-point shooting, Steph Curry, and coming up with stories. If you feel like doing your own analysis to investigate hypotheses or discover insights at any level, RDF graph's got your back. Case ...