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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. PostgREST vs pREST

PostgREST vs pREST

OverviewComparisonAlternatives

Overview

PostgREST
PostgREST
Stacks59
Followers119
Votes8
pREST
pREST
Stacks10
Followers24
Votes0

PostgREST vs pREST: What are the differences?

  1. Authentication and Authorization: One key difference between PostgREST and pREST is their approach to authentication and authorization. PostgREST uses JWT (JSON Web Tokens) for authentication and has built-in support for role-based access control (RBAC). On the other hand, pREST does not have built-in support for authentication and authorization, requiring additional setup and configuration.

  2. API Generation: Another difference is how the APIs are generated. PostgREST automatically generates RESTful APIs from an existing PostgreSQL database, providing a CRUD interface for the tables and views. pREST, on the other hand, requires manual definition of the API endpoints in a TOML file, making it more customizable but also requiring more effort for initial setup.

  3. Configuration and Customization: PostgREST is relatively easy to set up and requires minimal configuration, as it generates APIs based on the database schema. It also provides limited customization options, making it suitable for simple use cases. In contrast, pREST offers more configuration options, allowing for greater flexibility in defining API behavior and customizing the endpoints. This makes pREST a better choice for complex use cases that require fine-grained control over API behavior.

  4. Performance: When it comes to performance, PostgREST has been optimized for handling large amounts of data and high concurrency. It utilizes database prepared statements and connection pooling to improve performance. On the other hand, pREST may not have the same level of optimization and scalability as PostgREST, potentially leading to performance issues when dealing with large datasets or high traffic.

  5. Ecosystem and Community: While both PostgREST and pREST have active communities, PostgREST has a larger ecosystem and community support. It has been around for a longer time, has more contributors, and offers extensive documentation and examples. This larger ecosystem can be beneficial for developers who are looking for resources, support, and solutions to common problems.

  6. Maturity and Stability: PostgREST is considered more mature and stable compared to pREST. It has been widely adopted in production environments and is known for its reliability. In contrast, pREST is relatively newer and may still be undergoing development and improvements. This difference in maturity and stability should be considered when choosing between the two frameworks for a production application.

In Summary, PostgREST offers built-in authentication and authorization, automatic API generation from a PostgreSQL database, and has a larger ecosystem and community support. On the other hand, pREST provides more configuration options and customization possibilities, making it suitable for complex use cases. Developers should also consider the difference in performance, maturity, and stability when deciding between the two frameworks.

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Detailed Comparison

PostgREST
PostgREST
pREST
pREST

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.

Serve a RESTful API from any PostgreSQL database. There is the PostgREST written in haskell, keep a haskell software in production is not easy job, with this need that was born the pREST.

Statistics
Stacks
59
Stacks
10
Followers
119
Followers
24
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
PostgreSQL
PostgreSQL

What are some alternatives to PostgREST, pREST?

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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