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Lovefield

2
27
+ 1
3
NuoDB

10
25
+ 1
0
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Lovefield vs NuoDB: What are the differences?

What is 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.

What is NuoDB? A scale-out SQL database for global operations. NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.

Lovefield and NuoDB can be primarily classified as "Databases" tools.

Lovefield is an open source tool with 6.11K GitHub stars and 383 GitHub forks. Here's a link to Lovefield's open source repository on GitHub.

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Pros of Lovefield
Pros of NuoDB
  • 2
    Relational database
  • 1
    No servers
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    Cons of Lovefield
    Cons of NuoDB
    • 1
      Limited memory store
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      - No public GitHub repository available -

      What is Lovefield?

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

      What is NuoDB?

      NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.

      Need advice about which tool to choose?Ask the StackShare community!

      What are some alternatives to Lovefield and NuoDB?
      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.
      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.
      See all alternatives