The primary difference here is that collections ... every bit as powerful — in fact more powerful — than the SQL equivalent. MongoDB is designed for scalability and distributed deployments.

MongoDB is at No. 4 of all databases, including both SQL and NoSQL ... is] really not competing with us," Graham said. "It's the difference between a big Ford truck and a BMW sedan.

Microsoft SQL Server, PostgreSQL and MongoDB. The difference is their relative popularity: PostgreSQL and MongoDB have been gaining in popularity relative to the relational incumbents. PostgreSQL ...

In light of this increasing trend, it’s no surprise to see the introduction of a new SQL capability within the latest release of MongoDB—the Atlas SQL framework. MongoDB has supported a SQL “bridge” ...

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 ...

The study confirms that EDB Postgres AI delivers superior performance over Oracle, SQL Server, MongoDB, and MySQL across transactional, analytical, and AI workloads—offering unmatched speed ...

SlamData improves the efficiency of data analytics by utilizing SQL to perform ad hoc queries on data stored in NoSQL databases like MongoDB. And this efficiency is much needed, especially ...

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 ...