Skip to content

Technology

Unlike other database management systems (DBMS), relationships take first priority in graph databases. In the graph world, the relationship between items of information is equally (or more) important than individual data points. This relationship is often superior at reflecting the “real world” that the data represents.  

This connections-first approach to data means relationships and connections are permanent and highly customizable (and not just temporarily calculated) through every part of the data. The query language can navigate these relationships and the information located at each point rapidly.

How do graph databases work?

See for yourself! Click below to register for our FREE online Demos.


Break out of the endless data integration cycle

Traditional master data management (MDM) projects have tended to be cumbersome, complex and never-ending. By Gary Alleman, MD of Master ...

Introducing the Neo4j Connector for Apache Spark

Neo4j announced today the Neo4j Connector for Apache Spark, an integration tool to move data bi-directionally between the Neo4j Graph ...

Graph Database: How Graph Is Being Utilised For Data Analytics

In computing, a graph database (GDB) is a database which utilises graph structures for semantic queries with nodes, edges, and ...

How graph databases improve fraud detection

A new generation of fraud detection applications is about to eliminate the shortcomings of the current applications. Combatting fraud is ...

Where are graph databases headed?

Graph databases have matured into mainstream information technology. They are no longer esoteric software that’s just emerging from the lab ...

Graph Database: What Is It and Why It Matters For Businesses?

Graph databases, sometimes referred as semantic databases, have developed a lot in recent years. They have evolved into mainstream technology ...

How to select a graph database

Graph databases are the fastest-growing category in all of data management. Graph databases have evolved into a mainstream technology that ...

Graph Database Use In Logistics

Neo4j R, the leader in graph technology, has announced a new partnership with a number of organisations that want to ...

A quick primer on graph databases

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few ...

Going Deeper with Data Science and Machine Learning

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but ...

What Is Graph Analytics, and Why Is It Important?

Analytics is generally used on unprocessed data (visual or numeric, structure, unstructured) to uncover some insights. However, graph analytics (or ...

What is sparking the interest in graph databases?

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few ...
Loading...