![]() A managed service for deploying MongoDB in the cloud. This allows a MongoDB database to hold structured data (like a relational database), but also semi-structured and even unstructured data. MongoDB documents are simple to read and understand, yet they can support complex requirements, in part because they can be structured differently within the same collection. A MongoDB document is similar to a JavaScript Object Notation (JSON) object, a lightweight structure made up of unordered name/value pairs. MongoDB is considered a type of document database because data is stored as documents. A variety of NoSQL databases are in use today, including document databases, graph databases, wide-column stores, and key-value stores. NoSQL databases offer more flexibility and greater scalability than relational databases and are often better suited to many of today’s modern workloads. The acronym NoSQL, which means “not only SQL,” is a term used to describe various types of non-relational databases. Support for such data types eliminates the need to create the type of complex joins used in relational database. A field’s value can be one of a variety of data types, including arrays or embedded documents. A document is an object made up of one or more field and value pairs that contain related data. ![]() MongoDB is a scalable database management system that stores data as documents in a collection, rather than as rows in a table, such as you’d find in a relational database system.
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