mongodb_ecto
An Ecto adapter for MongoDB, enabling Elixir developers to use Ecto's query interface and schema definitions with MongoDB databases.
What is mongodb_ecto?
Mongo.Ecto is an adapter that allows the Ecto database wrapper and query generator in Elixir to work with MongoDB databases. It translates Ecto's schema definitions, queries, and operations into MongoDB-compatible commands, enabling developers to use Ecto's familiar abstractions while leveraging MongoDB's document-oriented data model. This solves the problem of integrating MongoDB into Elixir applications without having to abandon Ecto's productivity features.
Elixir developers building applications that use MongoDB as their primary database and want to utilize Ecto for data modeling, validation, and querying. It's particularly useful for teams already invested in Ecto who need to incorporate MongoDB's flexibility.
Developers choose Mongo.Ecto because it provides a seamless bridge between Ecto's robust, type-safe ecosystem and MongoDB's schema-less design, reducing boilerplate and maintaining consistency across different database backends. Its comprehensive data type mapping and support for modern MongoDB versions ensure reliability and compatibility.
Overview
MongoDB adapter for Ecto
Use Cases
Best For
- Integrating MongoDB into an existing Elixir Phoenix application that uses Ecto
- Building new Elixir applications that require both Ecto's abstractions and MongoDB's document storage
- Migrating an Elixir application from a SQL database to MongoDB while preserving Ecto patterns
- Leveraging Ecto's query syntax and changesets for MongoDB data validation and manipulation
- Using MongoDB with Elixir in scenarios requiring complex queries through Ecto's composable API
- Developing applications that need to switch between SQL and MongoDB backends with minimal code changes
Not Ideal For
- Applications requiring complex SQL-style joins or ACID transactions, as MongoDB lacks native support and Ecto's abstractions may not fully compensate.
- Projects heavily utilizing MongoDB-specific features like change streams or geospatial queries without built-in Ecto equivalents.
- Teams preferring minimal abstraction and direct control over MongoDB driver calls for performance-critical operations.
- Use cases with highly dynamic, schema-less data that doesn't align well with Ecto's structured schema definitions.
Pros & Cons
Pros
Provides full support for Ecto's query API, migrations, and schema definitions, enabling seamless integration with existing Ecto-based codebases as shown in the example queries.
Translates BSON data types like object IDs, dates, and binary data to Ecto's type system, ensuring accurate representation with detailed mapping tables in the documentation.
Supports both key-value configuration and MongoDB connection strings, including mongodb+srv:// for Atlas, simplifying deployment across various environments.
Built on mongodb_driver and tested against MongoDB 5.0, 6.0, and 7.0, offering robust, up-to-date connectivity with production-ready pool management.
Cons
Migration to version 2.0 required switching drivers and updating direct MongoDB calls, as noted in the migration guide, which can be disruptive for existing projects.
Ecto's association features may not map perfectly to MongoDB's document model, complicating relationships and preloading compared to SQL adapters.
Using Ecto's layers over MongoDB can introduce overhead for complex queries, and direct driver access is needed for optimizations, adding boilerplate.
Frequently Asked Questions
Related Projects
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