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Humongous.io vs PostgREST: What are the differences?
Humongous.io: 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; PostgREST: Automatic REST API for Any Postgres Database. PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.
Humongous.io and PostgREST can be primarily classified as "Database" tools.
PostgREST is an open source tool with 12.5K GitHub stars and 585 GitHub forks. Here's a link to PostgREST's open source repository on GitHub.
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Learn MorePros of Humongous.io
Pros of PostgREST
Pros of Humongous.io
- Easy setup2
Pros of PostgREST
- Fast, simple, powerful REST APIs from vanilla Postgres4
- JWT authentication2
- Very fast1
- Declarative role based security at the data layer1
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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 PostgREST?
PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.
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What companies use Humongous.io?
What companies use PostgREST?
What companies use Humongous.io?
What companies use PostgREST?
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What tools integrate with Humongous.io?
What tools integrate with PostgREST?
What tools integrate with PostgREST?
What are some alternatives to Humongous.io and PostgREST?
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