Document database
A document database is a nonrelational database that stores and retrieves records as self-contained documents, often with flexible or nested structures.
MongoDB 8.0 in Action, Third Edition
A document database stores records as self-contained documents, typically allowing each document to have a different structure.
- How it is used
- Stores application objects persistently while letting document structures follow changing access needs.
- How deep it goes
- Defines the model, contrasts relational schemas, and shows basic MongoDB operations; does not detail storage internals.
- Examples
- Uses a nested book document, MongoDB find/update/delete commands, and an airline-route query workload.
- What you can do after
- Apply it via MongoDB by shaping documents around frequent reads and writes and performing basic document operations.
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Effective Data Analysis
A document database is a database that stores complex nested records, typically in document formats with flexible or dynamic structures.
- How it is used
- Supports storing semistructured, nested information that does not fit neatly into structured tabular formats.
- How deep it goes
- Explains flexible structure, query implications, tabular transformation, and quality checks without detailing database implementation internals.
- Examples
- Uses IoT records, multimedia properties, employment documents, application logs, and nested JSON structures as examples.
- What you can do after
- Evaluate when flexible document storage fits and anticipate querying, tabular transformation, and data-quality requirements.
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Natural Language Processing in Action, Second Edition
A data store that organizes and retrieves records represented as documents, typically with flexible schemas.
- How it is used
- Supports searchable knowledge stores for Haystack question-answering applications.
- How deep it goes
- Explains document construction, indexing choices, embeddings, persistence, and pipeline wiring, but not database internals.
- Examples
- Uses CSV text lines, Haystack Documents, FAISSDocumentStore, and Flat or HNSW indexes.
- What you can do after
- Operate/configure a Haystack document store and connect it to a retriever-reader question-answering pipeline.
Read how Natural Language Processing in Action, Second Edition explains document database →
Related concepts
- JSONuses · JSON is a standardized, language-independent text format for representing structured data using objects, arrays, strings, numbers, Boolean values, and null.
- Elasticsearchincludes · Elasticsearch is a distributed search and analytics engine that indexes data for searching, retrieval, and analysis.
- databasecontrasts with · A database is an organized collection of persistent data managed by software for storage, retrieval, querying, and modification.
- object-relational impedance mismatchaddresses · Object-relational impedance mismatch is the structural and conceptual difficulty of representing object-oriented application models in relational database models, and vice versa.
- MongoDBincludes · MongoDB is a document-oriented database management system that stores data as BSON documents, typically organized into collections.
- NoSQL databasekind of · A NoSQL database is a database system organized primarily around nonrelational data models or access patterns rather than relational tables.
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