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) ...
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, ...
Since 2007, MongoDB has amassed millions of users of its document-based database, as workload shifts to the cloud has accelerated data collection growth as a whole and thus the need for architectures ...
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.
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.
MongoDB combines the benefits of immense popularity, support for simple graph searches, and the ability to perform SQL queries via a BI connector. Couchbase has its own large community of users, a ...
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