This allows customers to run SPARQLverse’s in-memory graph analytics capabilities against the same HDFS-resident data that they can analyze using other Actian products, like Vector, the ...

Graph analysis will push big data evolution to the next plateau of scale and sophistication. Hadoop is one segment of the evolutionary picture, but it’s not necessarily the centerpiece.

July 10, 2025) - The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON ...

Data analytics developments, including AI-powered analytics, that we’ll see in 2024 offer significant benefits for expanding our knowledge and making better data-driven decisions. Data analytics ...

The need for data-centric scientific tools is growing; domains such as biology, chemistry, and physics are increasingly adopting computational approaches. So, scientists must deal with the challenges ...

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...

The global graph analytics market in 2022 was valued at US$1.14 billion. The market value is anticipated to grow to US$6.90 billion by 2028. The market value is expected to grow at a CAGR of 34.80 ...

Data scientists and leaders in the healthcare industry can use the most advanced graph analytics, known as native parallel graphs, to link datasets across multiple domains.

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 ...