A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

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 ...

The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely questioned. But ...

Relational databases residing on multiple servers usually use replication to keep the databases synchronized. NoSQL databases can reside on a single server but more often are designed to work across a ...

Bob Muglia is something of a bard of databases, capable of unfurling sweeping tales in the evolution of technology. That is what Muglia, former Microsoft executive and former Snowflake CEO, did ...

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 ...

This week is MongoDB World 2022, and for those of us who were around for MongoDB 2014 (like me), it’s fair to say that much has changed over the past eight years for the company and industry. While ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

I'm trying to figure out if I'm just an inexperienced developer as it relates to building applications on top of relational databases, or if there is greater value in terms of flexibility and ...