GraphNews

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

Redis is best known as a key-value store – a very fast, in-memory key-value store. But the folks developing the technology at Redis Labs have big plans to

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

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As of late Q2 of 2018, there’s a new entry into the graph database marketplace, Amazon Neptune.

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.

Neo4j, DataStax Graph and Janus property graph schema design decisions for vertex and edge definitions.

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

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

AI is in its infancy and cannot be left unattended. Whether unintentional or by malicious design, algorithms behaving unexpectedly are now a fact of life.

Multi-model Azure database combines global reach and a choice of five consistency models, allowing you to trade off cost for consistency

How TigerGraph achieves fast data ingest, fast graph traversal, and deep link analytics even for large data sets

For those juicy technical details, hop over to our technical documentation. For a more newsy take, you can read our press release here.

Bye Bye Silos! Those who stay on their islands will fall back. This statement is valid on nearly any level of our increasingly complex society, ranging from whole cultural areas down to single individuals.

New MarkLogic Data Hub Service delivers both agile data integration and agile data infrastructure—with unmatched security and governance, and predictable costs.