In the last Mongo Matters column, we looked at MongoDB’s new SQL interface for querying data in MongoDB Atlas. Almost all of the “NoSQL” databases today support some form of SQL interface in order to ...

In previous columns, we’ve noted that the SQL language is in the ascendant. New SQL native databases such as CockroachDB and Yugabyte are showing robust adoption, while non-relational (NoSQL) ...

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 ...

Before delving into how MongoDB and Cassandra are different, let's document what they have in common. They're both databases, obviously. More importantly, they are both examples of NoSQL databases.

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

Relational databases store information in strictly regulated tables and columns. MongoDB is a document store, which stores information in collections and documents. The primary difference here is that ...