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Active Admin

70
74
+ 1
11
NoSQLBooster

37
63
+ 1
0
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Active Admin vs NoSQLBooster: What are the differences?

Developers describe Active Admin as "The administration framework for Ruby on Rails applications". Active Admin is a Ruby on Rails framework for creating elegant backends for website administration. On the other hand, NoSQLBooster is detailed as "MongoDB Admin GUI tool". It is a shell-centric cross-platform GUI tool for MongoDB v2.6-4.0 which provides comprehensive server monitoring tools, fluent query builder, SQL query, ES2017 syntax support and true intellisense experience.

Active Admin can be classified as a tool in the "Ruby Utilities" category, while NoSQLBooster is grouped under "Database Tools".

Some of the features offered by Active Admin are:

  • Global Navigation
  • Scopes
  • Index Styles

On the other hand, NoSQLBooster provides the following key features:

  • True IntelliSense
  • Tons of Snippets
  • Query MongoDB with SQL

Active Admin is an open source tool with 8.59K GitHub stars and 3.03K GitHub forks. Here's a link to Active Admin's open source repository on GitHub.

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Pros of Active Admin
Pros of NoSQLBooster
  • 6
    Customizable
  • 3
    Easy Integration
  • 2
    Powerful Admin Portal
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    What is Active Admin?

    Active Admin is a Ruby on Rails framework for creating elegant backends for website administration.

    What is NoSQLBooster?

    It is a shell-centric cross-platform GUI tool for MongoDB v2.6-4.0 which provides comprehensive server monitoring tools, fluent query builder, SQL query, ES2017 syntax support and true intellisense experience.

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

    What companies use Active Admin?
    What companies use NoSQLBooster?
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    What tools integrate with Active Admin?
    What tools integrate with NoSQLBooster?
    What are some alternatives to Active Admin and NoSQLBooster?
    Devise
    Devise is a flexible authentication solution for Rails based on Warden
    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.
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