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MongoDB

MongoDB is our primary database for CMS-based and content management projects where the schema evolves rapidly. We provide type-safe model definitions with Mongoose and globally distributed cluster management with Atlas.

Features

  • Schema-free document storage
  • Managed cluster with Atlas
  • Atlas Search (full-text)
  • Aggregation Pipeline
  • Mongoose ODM & TypeScript
  • Multi-region replication

Use Cases

  • Content management systems
  • Product catalogues
  • User activity feeds
  • Log & telemetry storage
  • Real-time configuration management

Deep Dive

Document-Based Storage with MongoDB

MongoDB is a NoSQL database that stores documents in JSON-like BSON format without requiring a schema. It offers a powerful alternative to relational databases like PostgreSQL in situations where the schema changes frequently, complex nested data structures are needed, or horizontal scaling is critical.

We work with MongoDB Atlas for content-focused projects, including Detartech's own web platform. Atlas's multi-region cluster support, automatic backups and Atlas Search features address many needs within a single platform. With the Mongoose ODM we create model-based validation, connection pool management and type definitions, ensuring tight TypeScript integration.

Where does Detartech use MongoDB?

Where the schema is variable we move to the document side, and there we use MongoDB. The bebekistiyorum.com IVF website, also covered on our web development service page, was rebuilt as a MongoDB-backed platform rendered on the server with Next.js App Router and React Server Components; medical articles, video pages and specialist profiles are managed in four languages from a custom admin panel. On the Biletico ticketing platform, MongoDB also runs on the data side, with Redis in the cache layer.

When is MongoDB the right choice?

MongoDB speeds up development when content types carry different fields, new fields are added often and data is mostly read and written as a whole document. Keeping every language's text inside the same document also sits naturally in this model for multilingual content; adding a new language does not require a schema migration.

When is MongoDB not the right choice?

For transactions in which several records must stay consistent together, such as orders, payments and stock, and for reporting built on dense relationships, a relational database is safer; in these projects our default is PostgreSQL. If the data model is clear and stable from the start, the freedom of a flexible schema stops being an advantage and becomes a risk that leaves data quality to application code.

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