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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. MongoDB Cloud Manager vs PostgREST

MongoDB Cloud Manager vs PostgREST

OverviewComparisonAlternatives

Overview

PostgREST
PostgREST
Stacks59
Followers119
Votes8
MongoDB Cloud Manager
MongoDB Cloud Manager
Stacks59
Followers80
Votes0

MongoDB Cloud Manager vs PostgREST: What are the differences?

MongoDB Cloud Manager and PostgREST are both popular tools in the tech industry for managing databases and APIs. When comparing MongoDB Cloud Manager and PostgREST, there are several key differences that stand out.

  1. Database Management: MongoDB Cloud Manager is primarily focused on managing MongoDB databases, offering tools for monitoring, backup, and automation. On the other hand, PostgREST is an API server that automatically converts your PostgreSQL database into a RESTful API, facilitating easy access to the data.

  2. Query Language: MongoDB uses a flexible and powerful document-based query language, JSON-like, that allows for dynamic schemas and easy manipulation of data. While PostgREST uses SQL to interact with PostgreSQL databases, offering the traditional relational database querying capabilities.

  3. Scalability: MongoDB Cloud Manager provides powerful features for scaling out horizontally with sharding and replication, enabling high availability and performance. PostgREST, on the other hand, does not directly handle scalability but can be integrated with other tools for scaling PostgreSQL databases.

  4. Distributed Transactions: MongoDB Cloud Manager supports multi-document transactions, allowing for ACID compliance across multiple documents within a single database or different databases. PostgREST, being an API server, relies on the underlying PostgreSQL database for transaction support, which may limit distributed transaction capabilities.

  5. Data Modeling: MongoDB Cloud Manager supports a flexible schema design, allowing for document-based data modeling, suitable for use cases with evolving requirements. PostgREST, being based on PostgreSQL, requires a predefined schema for relational data modeling, which may be more suitable for structured data needs.

  6. Security: MongoDB Cloud Manager offers robust security features such as encryption at rest and in transit, role-based access control, and auditing capabilities to protect sensitive data. PostgREST relies on PostgreSQL's security mechanisms for data protection, providing features like SSL support and user management within the database.

In Summary, MongoDB Cloud Manager excels in database management and scalability with a document-based query language, while PostgREST specializes in transforming PostgreSQL databases into RESTful APIs with SQL querying capabilities.

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Detailed Comparison

PostgREST
PostgREST
MongoDB Cloud Manager
MongoDB Cloud Manager

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.

It is a hosted platform for managing MongoDB on the infrastructure of your choice. It saves you time, money, and helps you protect your customer experience by eliminating the guesswork from running MongoDB.

-
Real-time Visualizations; Monitoring;backup;Automation for your MongoDB environment; Deployment Creation ; Zero Downtime Upgrades and Downgrades
Statistics
Stacks
59
Stacks
59
Followers
119
Followers
80
Votes
8
Votes
0
Pros & Cons
Pros
  • 4
    Fast, simple, powerful REST APIs from vanilla Postgres
  • 2
    JWT authentication
  • 1
    Very fast
  • 1
    Declarative role based security at the data layer
No community feedback yet
Integrations
No integrations available
New Relic
New Relic
MongoDB
MongoDB

What are some alternatives to PostgREST, MongoDB Cloud Manager?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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