Is NeDB still maintained or safe to use?

No, the project is officially unmaintained as per the README warning, so it may have unpatched bugs or security vulnerabilities. It's best avoided for production systems and considered only for prototyping or legacy support.

How to use NeDB in a browser app?

Include the nedb.min.js script from the browser-version folder, and it will automatically persist data using IndexedDB, WebSQL, or localStorage. The API is identical to the Node.js version, allowing seamless cross-platform development.

NeDB vs SQLite for a Node.js project?

NeDB is pure JavaScript with no native dependencies, making it easier to embed in cross-platform apps, but SQLite offers better performance, more features, and active maintenance. Choose NeDB for simple, JavaScript-only needs; SQLite for robust, data-intensive applications.

How to handle data persistence with NeDB in Node.js?

Specify a filename in the Datastore options and call loadDatabase or use autoload: true. The database uses an append-only format with optional compaction to manage file size, but you must ensure proper error handling during load.

Can NeDB do joins or handle relationships between documents?

No, NeDB lacks built-in join functionality like MongoDB; you need to manage relationships manually through references or embedded documents, which can complicate data modeling for relational data.

What are the performance limits of NeDB?

Based on README benchmarks, it handles around 10,000 documents well with speeds like 43,290 finds/s, but it's not designed for large datasets or high concurrency, as all data is kept in memory and operations block during compaction.

How to create an index in NeDB?

Use the ensureIndex method with options such as fieldName, unique, and expireAfterSeconds. Indexes are persisted to the datafile and automatically reloaded, but ensureIndex runs synchronously, so it's best called at startup.

Open-Awesome

NeDB

MITJavaScript

An embedded JavaScript database for Node.js, Electron, and browsers with a MongoDB-like API.

GitHub

13.5k stars1.0k forks0 contributors

What is NeDB?

NeDB is an embedded database written entirely in JavaScript, designed for Node.js, Electron, and browser environments. It provides a persistent or in-memory data store with an API that mimics MongoDB, allowing developers to perform common database operations without external dependencies. It solves the need for a lightweight, portable database that can run directly within JavaScript applications.

Target Audience

JavaScript developers building applications in Node.js, Electron, nw.js, or browsers who need a simple, embedded database without setting up a separate database server. It's ideal for small to medium-sized projects, prototypes, or offline-capable apps.

Value Proposition

Developers choose NeDB for its zero-dependency, pure-JavaScript implementation and familiar MongoDB-like API, which reduces the learning curve. Its ability to run across multiple platforms (server, desktop, browser) with consistent behavior makes it a versatile choice for embedded data storage needs.

Overview

The JavaScript Database, for Node.js, nw.js, electron and the browser

Use Cases

Best For

Building Electron apps that require local data persistence
Creating browser-based applications with offline storage
Prototyping Node.js projects without setting up MongoDB
Developing lightweight desktop apps with nw.js
Storing application data in-memory for fast access
Managing small datasets in JavaScript environments without external databases

Not Ideal For

Production applications requiring active maintenance and security updates
High-traffic systems needing scalable, distributed database capabilities
Projects dependent on advanced MongoDB features like aggregation pipelines or full-text search
Critical data environments where ACID transactions and robust error handling are essential

Pros & Cons

Pros

Zero Binary Dependencies

Written entirely in JavaScript, it runs seamlessly in Node.js, Electron, and browsers without native modules, simplifying deployment and cross-platform use.

Familiar MongoDB API

Supports common operations like insert, find, update, and remove with a similar syntax, reducing the learning curve for developers already comfortable with MongoDB.

Flexible Persistence Options

Offers both in-memory and file-based storage with automatic compaction, and in browsers, it automatically uses IndexedDB, WebSQL, or localStorage for persistent data.

Built-in Indexing Support

Allows creation of unique, sparse, and TTL indexes to speed up queries and enforce constraints, as documented in the indexing section.

Cons

Abandoned and Unmaintained

The README explicitly warns that the project is no longer maintained, meaning no bug fixes, security patches, or updates, which poses risks for production use.

Limited Query Capabilities

Only implements a subset of MongoDB's API, missing operators like $text for full-text search and advanced features such as aggregation, restricting complex data operations.

Manual Persistence Handling

For file-based storage, developers must manually call loadDatabase or rely on autoload, adding setup complexity compared to databases that auto-initialize.

Performance Scaling Issues

Benchmarks show it's fast for small datasets, but the in-memory model and append-only persistence can become inefficient with large volumes or high concurrency.

Frequently Asked Questions

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