Learn the key differences between relational and NoSQL databases with this in-depth comparison.

Graph databases and relational databases have big differences when it comes to how connections work, among other things ...

Graph databases are inherently more flexible than traditional relational database systems because it is possible to treat the metadata about the database as data itself, accessible in exactly the ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

TigerGraph is an HTAP graph database and claims swift, deep analytics as well as fast transaction processing. AnzoGraph, on the other hand, is designed as an OLAP graph database.

Graph databases use graph structures for semantic queries, providing a more flexible and efficient way to manage relationships between data.

Graph databases are increasingly popular. In fact, according to DB-Engines graphs are the fastest growing of any database category since 2013. This growth is fueled in part because many organizations ...

What Is a Graph Database? Your email has been sent Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. A graph database is a dynamic database ...

The Difference Between Structured, Unstructured, And Semi-Structured Data To easily understand the differences between the classifications of data, let’s use this analogy to illustrate.