I usually mention both as unique/key features of RDF: global identifiers and zero-cost merge— Martynas Jusevicius (@namedgraph) June 8, 2018

ARLINGTON, Va. (PRWEB) June 21, 2018 Stardog, the leader in Enterprise Knowledge Graph technology, today announced that its Board of Directors has appointed former Opower executive Michael Sachse

For the milestone of the 3.4 release, we’ve implemented a set of information retrieval features exposed via new database object View.

“Which #RDF graph partitioning technique gives better performance in cluster triplestore? checkout our empirical evaluation of RDF graph partitioning techniques in different architectures. https://t.co/wRlrR8lOSa #EKAW2018 #BigData”

SAN FRANCISCO, May 2, 2018 -- Neo4j, the leading platform for connected data, today announced Neo4j 3.4, which includes horizontal scaling, performance

Earlier this week we released a new version of the Neo4j Graph Algorithms library, almost a year to the day since the library was launched…

Neo4j tunes its graph engine for AI applications - SiliconANGLE

After the recent general availability for Storage Explorer, we also added new features in the latest 1.1 release to align with Azure Storage platform...

Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph’s, following the tests [2] in TigerGraph’s benchmark report [3], which requires solid performance on 3-hop, 6-hop, and even 10-hop queries. Multi-hop queries on large data sets are the future of graph analytics....

This release candidate is the first one with a cluster-ready ArangoSearch integration, the long awaited GeoJSON support and Google’s S2 Geo Index.

I made a little doodle to help you determine when to use ML, and when to use a SQL query or IF statement instead. It's just a draft, so let me know what you think! pic.twitter.com/bsxwSpyJTY— Sara Robinson (@SRobTweets) October 19, 2018

Learn how to find similar items in the Knowledge Graph with machine learning.

BioGraph uses @apachetinkerpop and Gremlin #graphdb https://t.co/vmps1W8VOW pic.twitter.com/BVKryYzx23— stephen mallette (@spmallette) November 21, 2018

Nested repeat() has merged for Gremlin 3.4.0 - wondering what new traversal patterns will evolve from this capability https://t.co/D7iGa9WRkG the @GCHQ developer who offered the pull request remains anonymously known as GCHQResearcher1337 - thanks to that person #graphdb pic.twitter.com/ULlT5KJfnt— stephen mallette (@spmallette) July 17, 2018

Super excited! Our work on explaining knowledge graph relationships has been judged as the best paper at @iswc2018. Thanks to the reviewers who gave extremely valuable suggestions to improve our work. #iswc_conf https://t.co/lNMOdsIQFi#ibm @IBMResearch— Sumit Bhatia (@sbhatia_) October 12, 2018

Why TinkerPop graph databases do not support pagination? What can we do as application developers? What else can we achieve as a…

Alethio’s data scientists dig into the Ethereum blockchain to identify the major players across the transaction network. Leveraging the…

Enables Users to Experience the World’s Fastest Graph Analytics Platform Designed to Unleash the Power of Interconnected Data for Deeper Insights and Better Outcomes

The Graph Engine Service from Huawei Cloud is Apache TinkerPop enabled - yet another #graphdb to offer Gremlin support https://t.co/azSWcmDKUP pic.twitter.com/tnaUNORXSf— TinkerPop (@apachetinkerpop) July 18, 2018

This article takes a look at insight into evaluating a graph database gained from benchmarking different graph databases. Also explore loading capabilities.

A knowledge graph is the only realistic way to manage enterprise data in full generality, at scale, in a world where connectedness is everything.

TigerGraph has brought forward a free Developer Edition of its graph analytics platform for lifetime non-commercial use. But, please, what is graph analytics? As defined nicely here by Hitachi ...

Recent attention from the research community has helped foment a significant debate among knowledge representation experts: what are knowledge graphs?

Discover why your organization is a knowledge graph is essentail to build a competitive advantage with a graph dabase and machine learning algorithms.

With the rapid rise of graph technology, it's time for a standard language for querying graphs. That work is already underway.