The primary difference here is that collections and documents are unstructured, sometimes referred to as schema-less. This means the structure of a MongoDB ... the SQL tendency to keep data ...

In previous columns, we’ve noted that the SQL ... the data. Users can also perform a join between two “tables” as well as other SQL queries such as GROUP BY or UNION. The BI connector is okay when the ...

A new report highlights the need for advanced database platforms to process and analyze ever-increasing volumes of data and ...

MongoDB consistently achieves fourth position on db-engines.com, with only Oracle, MySQL, and SQL ... database. Experienced database professionals often express horror at the idea of a “schemaless” ...

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 ...

MongoDB is a document-oriented database that accelerates applications’ development timeframe. Compared with traditional SQL databases, MongoDB allows developers to store data in a more flexible ...

While there are differences ... also becoming a data company. MongoDB has made some early moves in this direction, such as upping its security game and writing a bona fide SQL query engine.

SEE: Hiring kit: Database Engineer (TechRepublic ... MySQL, Microsoft SQL Server, PostgreSQL and MongoDB. The difference is their relative popularity: PostgreSQL and MongoDB have been gaining ...