mongodb/mongoid
Mongoid
Mongoid is an object-document mapper for Ruby that translates Ruby objects into MongoDB documents. It serves as a document database mapper and client library, providing a structured way to manage data persistence and retrieval within a NoSQL environment.
The project distinguishes itself by offering advanced data retrieval tools, including vector search for semantic similarity and full-text search for keyword matching. It implements high-security data protection through client-side field-level encryption, encryption key rotation, and TLS connection security to protect sensitive information.
Broad capabilities include the management of document lifecycles via callback hooks, the organization of documents into hierarchical tree structures, and the use of aggregation pipelines for data transformation. It also handles database index management, replica set routing for cluster traffic, and the integration of external file upload libraries.
The system provides tools for observability through application logging, database event monitoring, and document history tracking.
Features
- MongoDB Integrations - Integrates Ruby application objects with MongoDB as the primary storage backend.
- Object-to-Document Mappings - Provides the core mapping layer that translates Ruby application objects into MongoDB document formats for persistence.
- Collection Querying - Provides capabilities for fetching specific records from MongoDB collections using filters and query objects.
- Database Connection Configurations - Provides configuration mechanisms for establishing database connections using environment files and runtime variables.
- Database Connectivity - Establishes and configures the network connectivity between the application and remote MongoDB deployments.
- Document CRUD Operations - Provides standard CRUD operations for the full lifecycle management of individual documents within collections.
- Model Lifecycle Hooks - Implements mechanisms to trigger custom logic during database model events like document creation and updates.
- ODM Frameworks - Provides a dedicated ODM framework for mapping Ruby objects to NoSQL documents.
- MongoDB Database Drivers - Provides a client library and driver for executing CRUD operations and aggregation pipelines against MongoDB.
- MongoDB Schema Modeling - Allows the definition of application-level fields and validation rules on top of flexible, schema-less MongoDB documents.
- NoSQL Data Modeling - Facilitates NoSQL data modeling by defining flexible document schemas and hierarchical relationships.
- Object-Document Mappers - Acts as the primary object-document mapper that translates Ruby objects to MongoDB document structures.
- Lifecycle Callbacks - Provides event-driven hooks that execute custom logic during document creation, update, and deletion lifecycles.
- Database Connectivity Drivers - Includes the necessary drivers and interfaces to establish secure network connectivity between Ruby applications and MongoDB servers.
- Database Index Management - Provides tools for creating and managing database indexes to optimize query performance.
- Database Query Optimizations - Implements database query optimizations through the configuration of indexes and aggregation pipelines.
- Full Text Search - Indexes and retrieves documents using keyword matches and patterns via full-text search.
- High-Performance Data Infrastructures - Provides high-performance data retrieval using vector search and full-text indexing for large-scale datasets.
- Read Replica Routing Preferences - Configures read and write preferences to distribute data operations across MongoDB replica sets for better cluster traffic management.
- Aggregation Pipelines - Implements server-side aggregation pipelines to group, filter, and transform MongoDB documents into computed summaries.
- Vector Search - Retrieves documents based on mathematical similarity in high-dimensional vector spaces.
- Data Encryption - Provides mechanisms to secure sensitive information through encryption during processing and storage.
- Encryption Key Management - Generates and manages unique encryption keys stored in secure vaults to protect specific document fields.
- Field Level Encryption - Encrypts individual data fields at the source to ensure only authorized clients can decrypt specific values.
- Secure Storage - Secures sensitive information using client-side field encryption and encrypted network connections.
- SSL/TLS Connection Security - Configures encrypted communication between the application and MongoDB using SSL/TLS.
- Database Mapping - ODM framework for interfacing with MongoDB.
- Language Drivers - ODM framework for Ruby applications.
Star history
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