Data & AI

MongoDB

MongoDB is a database that stores information in flexible documents. Related details can stay together, making it useful when an application's records vary in shape or change over time.

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How it works

MongoDB groups documents into collections. Each document can contain related fields, lists, and nested information, so records do not all need identical shapes. Queries retrieve matching records, and indexes help with common access patterns. Applications still decide how information is validated, related, updated, and made available to users.

What you can build

Build the data layer for product catalogs, content platforms, customer profiles, and applications with evolving data needs.

  • Flexible product catalog

    Store products with different attributes, such as sizes, materials, or technical specifications, while providing a shared search and browsing experience for shoppers.

  • Content and profile service

    Manage articles or user profiles whose optional fields evolve over time, then expose the relevant records to an application through its backend.

Things to consider

Flexible documents still need a thoughtful data model. Plan validation, indexes, relationships, and reporting queries around actual use rather than treating flexibility as no structure.

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