We've been keeping track of graph database evolution regularly in this column. When we got note from Neo4j about its upcoming release, dubbed "the most significant product release in the graph ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

Almost everyone today operates multi-cloud and cloud-hybrid systems. These organizations have data in flat files, tagged files, relational databases, document stores, graph databases, and 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 makes ...

Conventional wisdom states that relational databases are not scalable or robust enough to handle the huge numbers of connections, the massive throughput, and all the cool tricks required to master IoT ...