Applying Graph Analytics to Game of Thrones
von Amy Hodler & Mark Needham, Neo4j (guest author), 12. Juni 2019
Tags: Graph DBMS, Neo4j

In this post, we review how organizations are integrating graph transactions and analytic processing and then dive deeper into graph algorithms. We’ll provide examples of using graph algorithms on Game of Thrones data to illustrate how to get started. Note that portions of this content have been taken from our O’Reilly book, Graph Algorithms: Practical Examples in Apache Spark & Neo4j,  which you can download for free.

GQL - initiating an industry standard property graph query language
von Alastair Green (guest author), 30. Mai 2018
Tags: Graph DBMS

GQL stands for “Graph Query Language”. GQL doesn’t exist yet: it’s a proposal to create a standard declarative language - designed to live alongside and fit well with SQL - that is specifically designed for the property graph data model.

Emerging and fading trends in database management systems
von Paul Andlinger, 4. Oktober 2016
Tags: DBaaS, Graph DBMS, Open source DBMS, Relational DBMS, Time Series DMBS

Articles on database technologies are jammed with buzzwords and prophecies of new trends, just like any other technology. We use the collected data of our DB-Engines Ranking to have a look at some of these trends.

Enriching Property Graphs with Relationship Objects
von Jans Aasman (guest author), 21. Juni 2016
Tags: Graph DBMS, RDF stores

In many graph database applications we find that a link between two nodes is quite complex.  Conventional property graph databases try to manage the complexity by putting properties on the edges between nodes, but this technique has significant limitations.  To overcome the limitations, this article introduces the relationship objects pattern.

The openCypher Project: Help Shape the SQL for Graphs
von Emil Eifrem (guest author), 22. Dezember 2015
Tags: Cypher, Graph DBMS, Neo4j, Oracle

Learn how you can get involved with the graph database community’s newest collaboration: the openCypher project, an open source query language for graphs.

Master Data Management Remains Siloed Without Semantics
von Jans Aasman (guest author), 16. November 2015
Tags: Graph DBMS, RDF stores

As Big Data continues to grow, companies are increasing their commitments to extract every last drop of value from the information they gather. Since siloed data has limited value, organizations are also embracing a more comprehensive strategy of managing data across multiple data domains. But this requires a shift away from traditional Master Data Management (MDM) to broader and more flexible data governance environments that enable enterprises to quickly synthesize diverse data sources that can result in transformative business decisions.

Graph DBMS increased their popularity by 500% within the last 2 years
von Paul Andlinger, 3. März 2015
Tags: Database models, DB2, Graph DBMS, Neo4j, Oracle, OrientDB, Relational DBMS, Titan

Graph DBMS show an extraordinary momentum and are making their way into enterprises.

Cassandra gained one rank and improves to 9th position
von Paul Andlinger, 2. April 2014
Tags: Cassandra, Database models, Graph DBMS, Relational DBMS, Wide column stores

While Cassandra achieves its best position ever, other trends are stabilizing in this months ranking.

Graph DBMSs are gaining in popularity faster than any other database category
von Matthias Gelbmann, 21. Januar 2014
Tags: Graph DBMS, Neo4j, OrientDB, Relational DBMS, Titan

When we look at how much various categories of database management systems increased their popularity last year, Graph DBMSs are the clear winner with more than 250% increase.

Our DB-Engines ranking identifies the most popular DBMS systems in various database model categories
von Paul Andlinger, Matthias Gelbmann, 22. Januar 2013
Tags: Database models, DB-Engines Ranking, Document stores, Graph DBMS, Key-value stores, RDF stores, Wide column stores

We have introduced sub-rankings by spliting up the DBMS systems per database models.