This delivers a better understanding of data over textual formats. The Graph Database Market and Applications. Graph databases are disrupting the billion-dollar market for the traditional Relational ...

Graph analytics, on the other hand, excel at looking at the “big picture,” analyzing complex networks of relationships that cannot be partitioned. For example, consider risk analysis within a ...

Hadoop has emerged as the go-to platform for sifting through massive amounts of data on commodity machines. But when it comes to certain types of analytic workloads with open-ended problems, nothing ...

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 and big data analytics technologies make a powerful combination. Such technology can provide support for data science queries, graph analytics, window functions, percentile calculations, and ...

I spoke with Dr. Yu Xu, CEO of TigerGraph, about why graph analytics hasn’t been adopted as much as other analytics methods – and why that’s changing. Among the topics we covered: ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

The cloud’s place in the data environment is growing, and TigerGraph wants to bolster its role. Today, the company rolled out several new features so cloud users can deliver more analytics and ...