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

PostgREST vs Sqitch

OverviewComparisonAlternatives

Overview

PostgREST
PostgREST
Stacks59
Followers119
Votes8
Sqitch
Sqitch
Stacks21
Followers110
Votes3
GitHub Stars0
Forks0

PostgREST vs Sqitch: What are the differences?

Introduction

PostgREST and Sqitch are two different tools used in database management. While PostgREST is an automatic API for PostgreSQL databases, Sqitch is a database change management tool. Despite their roles in database management, there are key differences that set them apart from each other. In this article, we will explore the top 6 differences between PostgREST and Sqitch.

  1. Architecture: PostgREST is designed as a standalone server that sits between the client and the PostgreSQL database, providing a RESTful API. On the other hand, Sqitch is a command-line tool that focuses on managing and deploying database changes from project source files.

  2. Functionality: PostgREST primarily provides an automatic and instant API for PostgreSQL databases, allowing clients to access database resources through RESTful endpoints. Sqitch, however, focuses on tracking and managing database schema changes, providing a version control system for migrations.

  3. API Interface: PostgREST generates a REST API automatically from the PostgreSQL schema, providing a standardized interface for clients to interact with the database. Sqitch, in contrast, does not offer an API interface by default. It focuses on tracking and managing database changes rather than exposing them through specific endpoints.

  4. Deployment Process: PostgREST deployment typically involves installing and configuring the PostgREST server alongside the PostgreSQL database. It requires no additional schema management or migrations. Sqitch, on the other hand, requires manual deployment of database changes using the Sqitch command-line tool, which tracks migrations and applies them to the corresponding databases.

  5. Database Change Management: PostgREST does not provide specific functionalities for tracking and managing database schema changes. It is primarily used for API generation. Sqitch, on the other hand, excels at managing database changes, providing a comprehensive system for version control, deployment, and rollback of migrations.

  6. Development Process Integration: PostgREST can be seamlessly integrated into the development process, automatically generating APIs based on the PostgreSQL schema. Sqitch can also be integrated to track and manage database changes, providing a streamlined approach to development and deployment.

In summary, PostgREST and Sqitch differ in their architectural design, functionality, API interface, deployment process, database change management capabilities, and integration into the development process. PostgREST focuses on generating automatic APIs for PostgreSQL databases, while Sqitch excels at managing database schema changes through version control and deployment.

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Detailed Comparison

PostgREST
PostgREST
Sqitch
Sqitch

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 standalone change management system with no opinions about your database engine, application framework, or development environment. Native scripting. Changes are implemented as scripts native to your selected database engine.

-
Native scripting; Dependency resolution; Deployment integrity; Iterative development
Statistics
GitHub Stars
-
GitHub Stars
0
GitHub Forks
-
GitHub Forks
0
Stacks
59
Stacks
21
Followers
119
Followers
110
Votes
8
Votes
3
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
Pros
  • 2
    Interacts with git super well
  • 1
    Native scripting
Integrations
No integrations available
MySQL
MySQL
Docker
Docker
Java
Java
Gradle
Gradle
MongoDB
MongoDB
Apache Maven
Apache Maven

What are some alternatives to PostgREST, Sqitch?

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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