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Embedding provides the following benefits: - generally better performance for read operations. - the ability to request and retrieve related data in a single database operation. Embedding related data in documents, can lead to situations where documents grow after creation. Document growth can impact write performance and lead to data fragmentation. MongoDB only provides atomic operations on the level of a single document. As a result needs for atomic operations influence decisions to use embedded or referenced relationships when modeling data for MongoDB. Embed fields that need to be modified together atomically in the same document.
Data modeling• Embedding – you have “contains” relationships between entities – you have one-to-many relationships where the “many” objects always appear with or are viewed in the context of their parent documents
Data modeling• Referencing – when embedding would result in duplication of data but would not provide sufficient read performance advantages to outweigh the implications of the duplication – to represent more complex many-to-many relationships – to model large hierarchical data sets