Shared with Dropbox

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.

We’re happy to announce release of Stardog Studio 0.1.0. Read on for the good stuff.

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

Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient graph developers, and how non-standardization on a graph query language is slowing down enterprise adoption,...

The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree. As graphs continue to see widespread adoption, we have certainly reached a tipping point for our industry. Still, it is...

by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics] Until recently, graph database designs fulfilled some but not all of the graph analytics...

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....

ArangoDB, an open source native multi-model database, is adding a new search feature to let developers efficiently interact with multiple data models by using just one technology and one query language. IDN speaks with ArangoDB CTO Dr. Frank Celler.