MongoDB is a document database for flexible, fast-changing data such as catalogues, content and app activity. Instead of fixed tables and columns, each record is a document that can hold its own set of fields, including lists and nested details.

For a business owner, that flexibility helps when your data does not fit neatly into rows. A catalogue where shirts, laptops and furniture each have different attributes, or an app that logs many kinds of events, can change shape as your business does, without a database redesign each time.

What we build with it

  • Product catalogues with different attributes per category
  • Content stores for articles, pages and media details
  • Activity feeds, audit logs and app event tracking
  • Chat and messaging history
  • SaaS features where each customer configures their own fields and forms
  • Early product versions whose data model is still settling

Why we choose it

  • A schema that can change. New fields can be added without migrating every existing record.
  • Matches how apps work. Documents map closely to the JSON used by NodeJS and web front ends, which reduces translation code.
  • Scales out. Data can be spread across servers as volume grows.
  • Managed hosting available. Hosted MongoDB services take care of backups, monitoring and upgrades.

When something else fits better

Where data is strongly related and every figure must reconcile, such as accounting, inventory, payroll or orders linked to payments, a relational database like MySQL, PostgreSQL or SQL Server is the better choice. Flexibility is a cost there, not a benefit. We often use both: a relational database for transactions and MongoDB for catalogues, logs or content.

How we work with it

  • We still design a data model: documents are shaped around how screens read data, and validation rules enforce required fields.
  • Indexes are planned for every common query, and slow queries are reviewed after launch.
  • We avoid documents that grow without limit, such as endless arrays, which slow down over time.
  • Backups are automated and restores are tested on a copy.
  • At handover you get a description of each collection, its fields and its indexes.