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LokiJS vs Pouchdb: What are the differences?

<Write Introduction here>
  1. Data Structure: LokiJS is an in-memory database that stores data in collections, while PouchDB is a document-oriented database that stores data in JSON format in documents.

  2. Synchronization: PouchDB supports synchronization with remote databases like CouchDB and IBM Cloudant, allowing for seamless data replication across different devices and platforms. In contrast, LokiJS does not provide built-in synchronization capabilities with remote databases.

  3. Backend Support: PouchDB can utilize various backend storage solutions such as IndexedDB, WebSQL, and LevelDB based on the environment, providing flexibility in data persistence. On the other hand, LokiJS primarily focuses on saving data in memory or to disk using a custom persistence adapter.

  4. Querying: LokiJS offers a powerful querying mechanism with support for indexes and dynamic views, enabling efficient data retrieval operations. In comparison, PouchDB's querying capabilities are more limited, primarily relying on MapReduce functions for data manipulation.

  5. Community and Ecosystem: PouchDB has a larger and more active community, resulting in better support, frequent updates, and a wider range of plugins and integrations available for developers. LokiJS, while still actively maintained, lacks the extensive ecosystem that PouchDB possesses.

  6. Usage Scenarios: Due to their inherent differences in data structure and synchronization capabilities, LokiJS is more suitable for applications requiring fast in-memory data operations, while PouchDB is better suited for projects that require seamless data synchronization across multiple devices or platforms.

In Summary, LokiJS and PouchDB differ in data structure, synchronization, backend support, querying capabilities, community size, and ideal usage scenarios.

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Pros of LokiJS
Pros of Pouchdb
  • 3
    Can query the objects directly
  • 2
    Offline cache
  • 1
  • 1
    Very fast
  • 1
  • 1

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What is LokiJS?

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

What is Pouchdb?

PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

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What companies use LokiJS?
What companies use Pouchdb?
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What tools integrate with LokiJS?
What tools integrate with Pouchdb?
What are some alternatives to LokiJS and Pouchdb?
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Embedded persistent or in memory database for Node.js, nw.js, Electron and browsers, 100% JavaScript, no binary dependency. API is a subset of MongoDB's and it's plenty fast.
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.
This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.
See all alternatives