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 ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

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 ...

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 ...

Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

It’s not exactly clear where we are in the Gartner Hype Cycle with respect to so-called “NoSQL” databases. We’ve definitely been through the Trough of Disillusionment, but are we in the Slope of ...