Data Models

Data in MongoDB has a flexible schema. Collections do not enforce document structure. This flexibility gives you data-modeling choices to match your application and its performance requirements.

You can download this section in PDF form as Data Model Design for MongoDB.

Data Modeling Introduction

An introduction to data modeling in MongoDB.

Document Validation

MongoDB provides the capability to validate documents during updates and insertions.

Data Modeling Concepts

The core documentation detailing the decisions you must make when determining a data model, and discussing considerations that should be taken into account.

Data Model Examples and Patterns

Examples of possible data models that you can use to structure your MongoDB documents.

Data Model Reference

Reference material for data modeling for developers of MongoDB applications.

• Data Modeling Introduction
• Document Validation
• Data Modeling Concepts
  • Data Model Design
  • Operational Factors and Data Models
• Data Model Examples and Patterns
  • Model Relationships Between Documents
    • Model One-to-One Relationships with Embedded Documents
    • Model One-to-Many Relationships with Embedded Documents
    • Model One-to-Many Relationships with Document References
  • Model Tree Structures
    • Model Tree Structures with Parent References
    • Model Tree Structures with Child References
    • Model Tree Structures with an Array of Ancestors
    • Model Tree Structures with Materialized Paths
    • Model Tree Structures with Nested Sets
  • Model Specific Application Contexts
    • Model Data for Atomic Operations
    • Model Data to Support Keyword Search
    • Model Monetary Data
    • Model Time Data
• Data Model Reference
  • Documents
  • Database References
  • ObjectId
  • BSON Types

←   SQL to Aggregation Mapping Chart Data Modeling Introduction  →

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