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Lovefield vs RethinkDB

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Lovefield
2
27
+ 1
3
RethinkDB
299
405
+ 1
307
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Lovefield vs RethinkDB: What are the differences?

Developers describe Lovefield as "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. On the other hand, RethinkDB is detailed as "JSON. Scales to multiple machines with very little effort. Open source". RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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

Lovefield and RethinkDB are both open source tools. RethinkDB with 22.4K GitHub stars and 1.74K 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 RethinkDB
  • 2
    Relational database
  • 1
    No servers
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
  • 25
    Reactive
  • 16
    Atomic updates
  • 15
    Joins
  • 9
    MVCC concurrency
  • 9
    Hadoop-style map/reduce
  • 4
    Geospatial support
  • 4
    Real-time, open-source, scalable
  • 2
    YC Company
  • 2
    A NoSQL DB with joins
  • 2
    Great Admin UI
  • 2
    Changefeeds: no polling needed to get updates
  • 2
    Fast, easily scalable, great customer support

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Cons of Lovefield
Cons of RethinkDB
  • 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 RethinkDB?

    RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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

    Jobs that mention Lovefield and RethinkDB as a desired skillset
    Manager I, Site Reliability Engineering
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    DreamLinuxEnvoy+18
    Manager I, Site Reliability Engineering
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    DreamLinuxEnvoy+18
    Senior Software Engineer, Big Data
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    DreamTrinoAirflow+11
    Staff Software Engineer - Site Reliability
    Pinterest
    Toronto, ON, CA
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    SpeedDreamLinux+20
    Staff Software Engineer - Site Reliability
    Pinterest
    Toronto, ON, CA
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    SpeedDreamLinux+20
    Staff Software Engineer - Site Reliability
    Pinterest
    Toronto, ON, CA
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    SpeedDreamLinux+20
    Sr. Machine Learning Engineer
    Pinterest
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    DreamHadoop+2
    Staff Software Engineer, Ads Serving Platform
    Pinterest
    San Francisco, CA, US; , US
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    guidanceInfraDream+9
    What companies use Lovefield?
    What companies use RethinkDB?
      No companies found
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      What tools integrate with Lovefield?
      What tools integrate with RethinkDB?
        No integrations found

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        What are some alternatives to Lovefield and RethinkDB?
        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

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