| Summary: |
Document-oriented databases, also known as document store databases, aggregate databases, or simply document stores or document databases, are databases that use a document-oriented model to store data.
Document–oriented databases store each record and its associated data within a single document. Each document contains semi-structured data that can be queried against using various query and analytics tools.
Main implementations of document–oriented databases include: MongoDB, Apache CouchDB, Amazon DynamoDB, Azure DocumentDB, IBM Cloudant, and RavenDB.
Each document-oriented database implementation differs on the details of definition of document. In general, they all assume documents encapsulate and encode data (or information) in some standard format or encoding. Encodings generally in use include XML, JSON, and BSON.
We will look a specifical document-oriented database: MongoDB. MongoDB stores data records as BSON documents. BSON is a binary representation of JSON documents. |
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