louischatriot/nedb
Nedb
NeDB is a JavaScript embedded NoSQL document store designed for Node.js and the browser. It functions as an in-memory data store with the option to persist documents to a local file system, ensuring data survives application restarts.
The project utilizes a MongoDB-compatible API to perform data operations, allowing it to serve as a lightweight document indexing system and a persistent file database without requiring a separate database server.
Capabilities include querying, inserting, updating, and deleting documents, as well as the ability to create indexes on specific fields to accelerate retrieval and enforce uniqueness. The system also supports sorting, pagination, and the implementation of expiration timers for automatic data removal.
Features
- Document Stores - Provides a NoSQL document store for managing semi-structured data in memory or on disk.
- Embedded Databases - Provides a lightweight, MongoDB-compatible database engine bundled directly within JavaScript applications.
- Document Deletion Operations - Provides operations to permanently remove one or multiple documents from the store based on queries.
- Client-Side Databases - Provides a browser-based storage solution for managing structured data locally to enable offline capabilities.
- Document Filtering - Retrieves documents using equality, comparison, and logical operators to filter records.
- Document Insertion - Allows adding single or multiple documents to a collection while automatically generating unique IDs.
- Document Manipulation Utilities - Modifies documents using replacement objects or atomic modifiers to update field values and arrays.
- Flat-File Databases - Persists documents to a local file system as a flat-file database to ensure data survival across restarts.
- In-Memory Data Stores - Holds data in RAM for fast access with the option to persist documents to flat files.
- In-Memory Databases - Maintains a full copy of the dataset in main memory to ensure high-performance query execution.
- Hybrid Storage Modes - Offers the flexibility to operate entirely in memory or persist data to a local file system.
- JSON Document Stores - Organizes information as nested JSON documents instead of fixed tables and rows.
- NoSQL Databases - Implements a non-relational document store that can be embedded directly within Node.js or browser applications.
- Append-Only Storage Engines - Implements a storage architecture that persists data as a sequence of immutable records in a flat file.
- Document Indexing - Creates fast search indexes on specific fields to quickly retrieve records from local JSON-like collections.
- JSON Serializers - Serializes JavaScript objects into a line-delimited JSON format for consistent local file storage.
- Database Indexing - Creates indexes on specific fields to accelerate data retrieval and enforce value uniqueness.
- Local Persistence - Saves application state and user settings to local flat files for desktop applications.
- Search Indexing - Provides indexing on specific document fields to accelerate search queries and enforce uniqueness.
- B-Tree - Uses B-Tree structures to organize indexed field values for logarithmic search complexity.
- Client-Side Storage - Embedded persistent database for browser and desktop apps.
- Database Tools - Embedded persistent or in-memory database.
- Database Utilities - Embedded persistent database.
- Bases de datos - Embedded persistent or in-memory database.
- Databases and Search - Embedded JavaScript database with a MongoDB-like API.
