Neo4j tunes its graph engine for AI applications - SiliconANGLE

Connected Data London community cast. Michael Grove: Knowledge Graphs and Graph Databases have reached unprecedented levels of interest thanks to the efforts...

Follow these tips to speed up your JanusGraph queries when running against a variety of storage backends including Apache Cassandra, ScyllaDB, Apache HBase, and Google Cloud Bigtable.

ARLINGTON, Va. (PRWEB) September 06, 2018 Stardog, the leading Enterprise Knowledge Graph Platform, is proud to report that Gartner has recognized Knowledge Graphs as an emerging technology in it

Discover how law enforcement and government agencies are harnessing the power of graph database technology alongside the POLE data model (Person, Object, Location, Event) to uncover hidden connections in crime data, including networks of criminal and fraudulent behavior that were previously hidden.

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

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

Stardog 5.3 includes 5x cluster performance improvement and S3 backups. Read on for the details.

A blog about my work and fun with Neo4j, the world's leading graph database platform.

David and Jeff talk with Ted Wilmes from Expero about best practices regarding DSE Graph and the importance of proper data modeling. Highlights 0:16 - David goes through introductions and gets an answer about who/what is Expero 0:57 - Expero has the best swag and David realizes his laptop is already wearing some 2:13 - What does Expero help developers understand? 3:55 - Ted explains why core DSE data modeling is so important because everything you do in DSE Graph eventually maps down to your model 4:39 - Potential graph pitfalls from not understanding implications of the underlying data mod...

Just recently A* Algorithm was added to Neo4j graph algorithms and I decided to show how nicely APOC spatial functions fit with it as it uses GPS location for heuristic. Import I found this cool gi…

Recently similarity algorithms were introduced in Neo4j graph algorithms library, so I decided to show how easy it has become to infer a graph using Jaccard similarity and then run Community detect…

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

In this week's #twin4j @amyhodler interviews Alastair Green, @boggle, and @aethelraed about the GQL proposal that was published last week.https://t.co/HWlcwFIEwE#neo4j pic.twitter.com/xYwPXZcC55— Neo4j (@neo4j) May 27, 2018

JanusGraph 0.3.0 is released! Congrats to the 27 contributors who made the release possible. https://t.co/za3cH9pG6a @JanusGraph @linuxfoundation #TinkerPop #graphdb pic.twitter.com/5SxDMNXRsg— Jason Plurad (@pluradj) August 7, 2018

“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”

Excited to learn that we won the VLDB 2018 Best Paper Award! "The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing" https://t.co/F5rR8ND5NQ @queryproc @semihsalihoglu @lintool @ozsu— Siddhartha Sahu (@sdht0) August 16, 2018

The Stardog Studio 1.0.0 Beta is here! Studio 1.0.0 is the next generation of the Knowledge Graph IDE featuring a re-imagined editing environment for #SPARQL including introspections and auto-completion. Try it yourself here: https://t.co/SbsHRQBOqD pic.twitter.com/i1zqtBz3J3— Stardog (@StardogHQ) August 17, 2018

Stardog Studio 1.0.0 Beta is out now! The next generation of the Knowledge Graph IDE with a re-imagined editing environment for #SPARQL. Manage databases and security, author and execute saved queries from a simple to use interface. Try it now: https://t.co/SbsHRQkd23 pic.twitter.com/gmVBYqa3E3— Stardog (@StardogHQ) August 22, 2018

The days of the one-size-fits-all monolithic database are behind us, and developers are using a multitude of purpose-built databases.

We are absolutely thrilled to announce that one of the brightest and most respected minds in open-source software, Ted Dunning, joins ArangoDBs Advisory Council. Hi, Ted and welcome to the ArangoDB family!

This case study shares how Refinitiv used ArangoDB to build a sophisticated Business Intelligence Platform.

J.P. Morgan lowers its rating to neutral from overweight for Oracle shares, citing negative results in a tech spending survey.

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 ...

The 1990s and 2000s saw the rise of the relational databases for transaction processing (OLTP) as well as analytical processing (OLAP). As the volume and