The general idea, when speaking about databases, is that SQL powers the big stuff while MongoDB trades off size capabilities for speed. As such, we’ll often see SQL (of some flavor) used in large, ...

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) ...

PALO ALTO, Calif., Feb. 17 — Metanautix, a big data analytics company focused on simplifying the data supply chain, today announced a partnership with MongoDB to make integrating Non relational ...

MongoDB is a widely popular tool for developers – it gives them the ability to store data structures in a way that allows for greater flexibility for building and deploying applications. The issue, ...

When a $40 billion database industry giant takes enough interest in a technology to build its own application programming interface for it, that’s an indication the technology has legitimate appeal.

Silicon Valley-based startup Espresso Logic has introduced new functionality to merge big data and SQL data into one common REST API for developing the backend for web and mobile apps. The REST APIs ...

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...

Is there a good free/open source db tool that can parse SQL for MongoDB databases, as well as supports connecting to other databases like PostgreSQL? I'm well versed in SQL, but not at all in JSON ...

So I have been tasked with moving a fairly large amount (2.5 million rows) of highly flat denormalized data from Oracle 11g to MongoDB. The data is highly repetive in that a lot of data repeats itself ...