This makes it the most capable big data analytics database in the world. Nebula Graph’s distributed high-availability architecture is also designed for scalability and recovery without disruption, ...

Plus, it’s loaded with 55 pre-built graph algorithms that have been adapted by TigerGraph specifically to work against its graph database for things like PageRank, clustering, and centrality. Before ...

Graph databases and analytics are getting ever more accessible and relevant Written by George Anadiotis, Contributor March 16, 2020 at 4:47 a.m. PT.

NEW PRODUCT ANALYSIS: Unlike other graph databases that delve two to three levels deep into the connected data, TigerGraph's pattern analytics is tuned to be efficient and tractable with the ...

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 ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

TigerGraph, a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round.The round was led by ...

Graph technologies are predicted to be used in 80% of data and analytics innovations by 2025, according to research firm Gartner, up from just 10% this year. TigerGraph says that graphs will ...

If, for example, we have a rule that more than x properties cannot connect to a single substation, it isn’t possible to see when that rule gets broken for whatever reason. With the graph database, we ...

In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting. BT.

TigerGraph recently released v3.0 of its graph database, which adds no-code advanced graph analytics into its core platform capabilities, so that line-of-business employees can use the database.

Auer is a Data Science professor with many contributions in Knowledge Graph research and is leading ORKG. Dr. Auer identified two key issues in scientific research.