What is Mongoid?
The philosophy of Mongoid is to provide a familiar API to Ruby developers who have been using Active Record or Data Mapper, while leveraging the power of MongoDB's schemaless and performant document-based design, dynamic queries, and atomic modifier operations.
Mongoid is a tool in the Object Document Mapper (ODM) category of a tech stack.
Mongoid is an open source tool with 25 GitHub stars and 22 GitHub forks. Here’s a link to Mongoid's open source repository on GitHub
Who uses Mongoid?
Companies
10 companies reportedly use Mongoid in their tech stacks, including Sensor Tower, WOVN.io, and dakwak.
Developers
76 developers on StackShare have stated that they use Mongoid.
Mongoid Integrations
Pros of Mongoid
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Mongoid Alternatives & Comparisons
What are some alternatives to Mongoid?
Mongoose
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Related Comparisons
