GraphNews

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.

Thu, Sep 25, 2014, 6:30 PM: Our Topic This MonthGraphs are a perfect solution to organize information and to determine the relatedness of content, such as the connection between phrases and words in t

Titan, Tinkerpop, Neo4j, ArrangoDB, OrientDB, but I still have a fondness for grep/sed/awk and flatfiles.

For a presentation at the Neo4j User Meeting in Tokyo I have converted the TeX Live Database into a Graph Database and represented dependencies between all kind of packages as well as files and their respective packages as nodes and relations. Update 20181010: I have worked out the first step…

Having heard about the advantages of Scylla, IBM’s Open Tech and Performance teams conducted a series of tests to compare Scylla with HBase and Cassandra.

With the emergence of offerings on both AWS (Neptune) and Azure (CosmosDB) within the past year it is fair to say that graph databases are of the hottest trend…

In this article, we’ll see a walk-through of Graph API integration with Azure Cosmos DB using the API.

Stardog 5.1 adds support for GraphQL, an expressive path query SPARQL extension, and stored functions.

We’re pleased to announce a major new release of Stardog that includes native support for unifying MongoDB data silos in Stardog.

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