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BedquiltDB

2
13
+ 1
0
Forest

22
44
+ 1
3
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BedquiltDB vs Forest: What are the differences?

BedquiltDB: A Mongo-like JSON doc store built on Postgres *. BedquiltDB is an open-source PostgreSQL extension and set of code libraries, which wraps the PostgreSQL jsonb data type in a slick programmatic API inspired by NoSQL document stores; *Forest:** 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.

BedquiltDB and Forest can be primarily classified as "Database" tools.

BedquiltDB is an open source tool with 253 GitHub stars and 9 GitHub forks. Here's a link to BedquiltDB's open source repository on GitHub.

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    - No public GitHub repository available -

    What is BedquiltDB?

    BedquiltDB is an open-source PostgreSQL extension and set of code libraries, which wraps the PostgreSQL jsonb data type in a slick programmatic API inspired by NoSQL document stores.

    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.

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

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      What are some alternatives to BedquiltDB and Forest?
      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