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Atlas-DB vs Mongoid: What are the differences?
## Introduction
When comparing Atlas-DB and Mongoid, there are several key differences to consider.
1. **Data Storage**: In Atlas-DB, data is stored in MongoDB Atlas, which is a fully managed database service. Whereas in Mongoid, data is stored in MongoDB, an open-source NoSQL database. Atlas-DB offers additional security, scalability, and management features due to being hosted on MongoDB Atlas.
2. **Framework Integration**: Atlas-DB is specifically designed to work seamlessly with MongoDB Atlas, providing optimized performance and compatibility. On the other hand, Mongoid is an Object-Document Mapping library for Ruby, allowing Ruby developers to interact with MongoDB databases using Ruby objects.
3. **Deployment**: Atlas-DB simplifies the deployment process by providing an integrated cloud-based solution with MongoDB Atlas. Mongoid, on the other hand, requires manual setup and configuration of MongoDB databases for deployment.
4. **Scalability**: Atlas-DB offers built-in scalability features provided by MongoDB Atlas, such as automatic sharding and load balancing. Mongoid, being a library, relies on the underlying capabilities of MongoDB for scalability.
5. **Maintenance**: With Atlas-DB, maintenance tasks such as backups, monitoring, and updates are handled by MongoDB Atlas, reducing the operational burden on developers. In contrast, Mongoid users are responsible for managing these maintenance tasks themselves.
6. **Community Support**: Mongoid benefits from a robust community of Ruby developers who contribute to its development and provide support. However, Atlas-DB users can leverage the extensive resources and support offered by MongoDB for troubleshooting and guidance.
In Summary, Atlas-DB and Mongoid differ significantly in terms of data storage, framework integration, deployment process, scalability options, maintenance tasks, and community support.
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Pros of Mongoid
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Pros of Mongoid
- Can be used without Rails1
- Supports Referenced and Embedded Associations1
- Easy to add 'created_at' and 'updated_at'' timestamps1
- Drop-in-and-forget replacement for activerecord1
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What is Atlas-DB?
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.
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.
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What companies use Atlas-DB?
What companies use Mongoid?
What companies use Atlas-DB?
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What tools integrate with Atlas-DB?
What tools integrate with Mongoid?
What tools integrate with Atlas-DB?
No integrations found
What tools integrate with Mongoid?
What are some alternatives to Atlas-DB and Mongoid?
MongoDB Atlas
MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
Azure Cosmos DB
Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
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.