JavaScript Data Storage Libraries Comparison
jsonfile vs localforage vs lowdb vs pouchdb vs nedb
1 Year
jsonfilelocalforagelowdbpouchdbnedbSimilar Packages:
What's JavaScript Data Storage Libraries?

These libraries provide various methods for data storage in JavaScript applications, each with its unique features and use cases. They cater to different needs, from simple file-based storage to more complex, offline-first databases. Understanding their functionalities helps developers choose the right tool for managing application data efficiently, whether in a Node.js environment or in the browser.

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jsonfile47,422,2281,205-54 years agoMIT
localforage3,346,36625,032-2463 years agoApache-2.0
lowdb629,24121,64422.9 kB10a year agoMIT
pouchdb34,64416,9875.53 MB1576 months agoApache-2.0
nedb22,69013,520-2099 years agoSEE LICENSE IN LICENSE
Feature Comparison: jsonfile vs localforage vs lowdb vs pouchdb vs nedb

Storage Type

  • jsonfile:

    jsonfile stores data in JSON format directly to the file system, making it simple and straightforward for small datasets.

  • localforage:

    localforage abstracts storage across various backends like IndexedDB, WebSQL, and localStorage, allowing for more flexibility and browser compatibility.

  • lowdb:

    lowdb uses a JSON file as its database, providing a lightweight and easy-to-use solution for simple data storage needs.

  • pouchdb:

    pouchdb stores data in a structured format that allows for complex querying and syncing with CouchDB, making it suitable for offline-first applications.

  • nedb:

    nedb stores data in a single file, using a binary format for efficient storage and retrieval while providing indexing for faster queries.

API Design

  • jsonfile:

    jsonfile has a minimalistic API focused on reading and writing JSON files, making it easy to use for basic file operations.

  • localforage:

    localforage offers a promise-based API that simplifies asynchronous data storage operations, making it accessible for modern web applications.

  • lowdb:

    lowdb provides a simple and intuitive API for CRUD operations, allowing developers to easily manipulate data stored in JSON format.

  • pouchdb:

    pouchdb features a rich API that supports complex queries, data syncing, and event handling, catering to more advanced use cases.

  • nedb:

    nedb mimics the MongoDB API, providing a familiar interface for developers who are accustomed to MongoDB, making it easy to learn and use.

Performance

  • jsonfile:

    jsonfile is efficient for small data sizes but may not perform well with large datasets due to file I/O limitations.

  • localforage:

    localforage is optimized for speed and can handle larger datasets efficiently by leveraging browser storage capabilities.

  • lowdb:

    lowdb is suitable for small to medium datasets but may experience performance issues with large data due to its reliance on file I/O.

  • pouchdb:

    pouchdb is designed for performance with large datasets, offering efficient data syncing and querying capabilities.

  • nedb:

    nedb performs well with small to medium datasets and includes indexing to speed up queries, but may slow down with very large datasets.

Use Cases

  • jsonfile:

    jsonfile is ideal for small applications, configuration storage, or scripts that require simple data persistence without a database.

  • localforage:

    localforage is perfect for web applications that need to store user data offline or cache data for improved performance.

  • lowdb:

    lowdb is great for prototyping, small applications, or when you need a quick and easy JSON-based database solution.

  • pouchdb:

    pouchdb is best for applications that require offline capabilities and synchronization with remote databases, especially in mobile or progressive web apps.

  • nedb:

    nedb is suitable for desktop applications or small server-side applications where a lightweight database is needed without the complexity of a full database system.

Data Synchronization

  • jsonfile:

    jsonfile does not support data synchronization; it is a static file-based storage solution.

  • localforage:

    localforage does not provide built-in synchronization but can be used in conjunction with other libraries to manage data syncing.

  • lowdb:

    lowdb does not include synchronization features, focusing instead on local data management.

  • pouchdb:

    pouchdb excels in data synchronization, allowing seamless syncing between local databases and CouchDB, making it ideal for offline-first applications.

  • nedb:

    nedb does not support synchronization out of the box, but it can be integrated with other tools for that purpose.

How to Choose: jsonfile vs localforage vs lowdb vs pouchdb vs nedb
  • jsonfile:

    Choose jsonfile if you need a simple way to read and write JSON files in a Node.js environment. It's ideal for lightweight applications where you want to store configuration or small datasets without the overhead of a database.

  • localforage:

    Select localforage when you require a simple, asynchronous storage solution that works across different browsers. It provides a consistent API for storing data in IndexedDB, WebSQL, or localStorage, making it suitable for web applications that need to store data offline.

  • lowdb:

    Opt for lowdb if you want a lightweight JSON database for small projects or prototyping. It allows you to use a simple file as a database and provides a straightforward API for querying and manipulating data, making it perfect for small applications or quick setups.

  • pouchdb:

    Select pouchdb when you need a powerful, offline-first database that syncs with CouchDB. It's great for applications that require data synchronization across devices and offline capabilities, making it suitable for complex web applications.

  • nedb:

    Choose nedb if you need a lightweight embedded database for Node.js applications. It offers a MongoDB-like API and is suitable for applications that require a simple, file-based database with indexing capabilities, making it ideal for small to medium-sized projects.

README for jsonfile

Node.js - jsonfile

Easily read/write JSON files in Node.js. Note: this module cannot be used in the browser.

npm Package build status windows Build status

Standard JavaScript

Why?

Writing JSON.stringify() and then fs.writeFile() and JSON.parse() with fs.readFile() enclosed in try/catch blocks became annoying.

Installation

npm install --save jsonfile

API


readFile(filename, [options], callback)

options (object, default undefined): Pass in any fs.readFile options or set reviver for a JSON reviver.

  • throws (boolean, default: true). If JSON.parse throws an error, pass this error to the callback. If false, returns null for the object.
const jsonfile = require('jsonfile')
const file = '/tmp/data.json'
jsonfile.readFile(file, function (err, obj) {
  if (err) console.error(err)
  console.dir(obj)
})

You can also use this method with promises. The readFile method will return a promise if you do not pass a callback function.

const jsonfile = require('jsonfile')
const file = '/tmp/data.json'
jsonfile.readFile(file)
  .then(obj => console.dir(obj))
  .catch(error => console.error(error))

readFileSync(filename, [options])

options (object, default undefined): Pass in any fs.readFileSync options or set reviver for a JSON reviver.

  • throws (boolean, default: true). If an error is encountered reading or parsing the file, throw the error. If false, returns null for the object.
const jsonfile = require('jsonfile')
const file = '/tmp/data.json'

console.dir(jsonfile.readFileSync(file))

writeFile(filename, obj, [options], callback)

options: Pass in any fs.writeFile options or set replacer for a JSON replacer. Can also pass in spaces, or override EOL string or set finalEOL flag as false to not save the file with EOL at the end.

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFile(file, obj, function (err) {
  if (err) console.error(err)
})

Or use with promises as follows:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFile(file, obj)
  .then(res => {
    console.log('Write complete')
  })
  .catch(error => console.error(error))

formatting with spaces:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFile(file, obj, { spaces: 2 }, function (err) {
  if (err) console.error(err)
})

overriding EOL:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFile(file, obj, { spaces: 2, EOL: '\r\n' }, function (err) {
  if (err) console.error(err)
})

disabling the EOL at the end of file:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFile(file, obj, { spaces: 2, finalEOL: false }, function (err) {
  if (err) console.log(err)
})

appending to an existing JSON file:

You can use fs.writeFile option { flag: 'a' } to achieve this.

const jsonfile = require('jsonfile')

const file = '/tmp/mayAlreadyExistedData.json'
const obj = { name: 'JP' }

jsonfile.writeFile(file, obj, { flag: 'a' }, function (err) {
  if (err) console.error(err)
})

writeFileSync(filename, obj, [options])

options: Pass in any fs.writeFileSync options or set replacer for a JSON replacer. Can also pass in spaces, or override EOL string or set finalEOL flag as false to not save the file with EOL at the end.

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFileSync(file, obj)

formatting with spaces:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFileSync(file, obj, { spaces: 2 })

overriding EOL:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFileSync(file, obj, { spaces: 2, EOL: '\r\n' })

disabling the EOL at the end of file:

const jsonfile = require('jsonfile')

const file = '/tmp/data.json'
const obj = { name: 'JP' }

jsonfile.writeFileSync(file, obj, { spaces: 2, finalEOL: false })

appending to an existing JSON file:

You can use fs.writeFileSync option { flag: 'a' } to achieve this.

const jsonfile = require('jsonfile')

const file = '/tmp/mayAlreadyExistedData.json'
const obj = { name: 'JP' }

jsonfile.writeFileSync(file, obj, { flag: 'a' })

License

(MIT License)

Copyright 2012-2016, JP Richardson jprichardson@gmail.com