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Forest

22
44
+ 1
3
Jungle

37
43
+ 1
0
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Forest vs Jungle: What are the differences?

Developers describe Forest as "A universal admin interface designed to manage all your application data and business operations". Install the Forest agent in your application to analyze your data models and instantly set up an admin interface. Connect your 3rd party services to create intelligent consistency between all your data without needing to change context. On the other hand, Jungle is detailed as "*Simple CLI for AWS operations *". awscli is by far the most comprehensive CLI tool manipulating various AWS services, and I really like its flexible options and up-to-date release cycle. However, day-to-day AWS operations from my terminal don't need that much flexibility and that many services.

Forest and Jungle are primarily classified as "Database" and "Platform as a Service" tools respectively.

Jungle is an open source tool with 842 GitHub stars and 41 GitHub forks. Here's a link to Jungle's open source repository on GitHub.

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Pros of Forest
Pros of Jungle
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    Quick setup
  • 1
    Customizable
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    - No public GitHub repository available -

    What is Forest?

    Forest Admin does all the heavy lifting of building the admin panel of your web application and provides an API-based framework to implement all your specific business processes.

    What is Jungle?

    awscli is by far the most comprehensive CLI tool manipulating various AWS services, and I really like its flexible options and up-to-date release cycle. However, day-to-day AWS operations from my terminal don't need that much flexibility and that many services.

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    What companies use Forest?
    What companies use Jungle?
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      What tools integrate with Forest?
      What tools integrate with Jungle?

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      What are some alternatives to Forest and Jungle?
      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