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Humongous.io

7
14
+ 1
2
Stellar

6
28
+ 1
0
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Humongous.io vs Stellar: 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, Stellar is detailed as "Fast database snapshot and restore tool for development". Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

Humongous.io and Stellar can be primarily classified as "Database" tools.

Stellar is an open source tool with 3.58K GitHub stars and 108 GitHub forks. Here's a link to Stellar's open source repository on GitHub.

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Pros of Humongous.io
Pros of Stellar
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    - No public GitHub repository available -

    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 Stellar?

    Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

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

    What companies use Humongous.io?
    What companies use Stellar?
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      What tools integrate with Humongous.io?
      What tools integrate with Stellar?
        No integrations found
        What are some alternatives to Humongous.io and Stellar?
        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