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Lovefield

3
27
+ 1
3
Pouchdb

110
201
+ 1
5
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Lovefield vs Pouchdb: What are the differences?

Lovefield: A relational database for web apps, by Google. Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use; Pouchdb: Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser. 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.

Lovefield and Pouchdb can be categorized as "Databases" tools.

Lovefield and Pouchdb are both open source tools. Pouchdb with 12.1K GitHub stars and 1.21K forks on GitHub appears to be more popular than Lovefield with 6.11K GitHub stars and 383 GitHub forks.

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Pros of Lovefield
Pros of Pouchdb
  • 2
    Relational database
  • 1
    No servers
  • 1
    Offline cache
  • 1
    Very fast
  • 1
    JSON
  • 1
    Free
  • 1
    Repication

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Cons of Lovefield
Cons of Pouchdb
  • 1
    Limited memory store
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    What is Lovefield?

    Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.

    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 Lovefield?
    What companies use Pouchdb?
      No companies found
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      What tools integrate with Lovefield?
      What tools integrate with Pouchdb?
        No integrations found
        What are some alternatives to Lovefield and Pouchdb?
        AlaSQL
        Open source SQL database for Javascript with a strong focus on query speed and datasource flexibility for relational data, schemaless data, and graph data. Works in your browser, Node.js and Cordova. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, and Excel.
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        MongoDB
        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.
        Microsoft SQL Server
        Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
        See all alternatives