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Humongous.io

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2
ReactiveMongo

19
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+ 1
0
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Humongous.io vs ReactiveMongo: What are the differences?

Developers describe Humongous.io as "mongoDB User Interface". HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed. On the other hand, ReactiveMongo is detailed as "Non-blocking, Reactive MongoDB Driver for Scala". ReactiveMongo is designed to avoid any kind of blocking request. Every operation returns immediately, freeing the running thread and resuming execution when it is over. Accessing the database is not a bottleneck anymore.

Humongous.io and ReactiveMongo belong to "Database Tools" category of the tech stack.

ReactiveMongo is an open source tool with 797 GitHub stars and 231 GitHub forks. Here's a link to ReactiveMongo's open source repository on GitHub.

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    What is Humongous.io?

    HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed.

    What is ReactiveMongo?

    ReactiveMongo is designed to avoid any kind of blocking request. Every operation returns immediately, freeing the running thread and resuming execution when it is over. Accessing the database is not a bottleneck anymore.

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

    What companies use Humongous.io?
    What companies use ReactiveMongo?
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    What tools integrate with Humongous.io?
    What tools integrate with ReactiveMongo?
    What are some alternatives to Humongous.io and ReactiveMongo?
    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.
    Redis
    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.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives