Peter Neubauer introduces Graph databases and how they compare to RDBMS' and where they stand in the NOSQL-movement, followed by examples of using a graph database in Java with Neo4j.

In the modern world of data-driven applications we are at a fascinating point at which both fully formed products and powerful components are being offered to us at a breathtaking pace. The question ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...

The SQL language served as a universal language for data­base manipulation from the mid-1980s until NoSQL data­bases started gaining strength about 12 years ago. However, after a short period in the ...

Today, at its Ignite conference in Orlando, Microsoft is announcing the general availability of a new version of its flagship operational database, SQL Server 2017. SQL Server is a product I have ...

When it comes to managing big data, there’s an emerging number of ways to go about things, depending on your needs for structured data, unstructured data, volume, speed and accessibility. NoSQL in ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

LOS ALTOS, Calif. & SAN MATEO, Calif.--(BUSINESS WIRE)--Talend, a global open source software leader, and Neo Technology, creators of Neo4j, the world’s leading graph database, today announced a ...

Graph database provider TigerGraph Inc. today announced version 3.0 of its namesake engine, saying it incorporates significant ease-of-use enhancements. Graph databases are a type of NoSQL database ...

The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...