StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. PostgREST vs Quilt

PostgREST vs Quilt

OverviewComparisonAlternatives

Overview

PostgREST
PostgREST
Stacks59
Followers119
Votes8
Quilt
Quilt
Stacks1
Followers11
Votes0
GitHub Stars1.4K
Forks91

PostgREST vs Quilt: What are the differences?

  1. Data Source Integration: PostgREST is specifically designed as a thin API layer on top of a PostgreSQL database, providing automatic REST API endpoints for tables and queries, whereas Quilt is a collaborative data portal that integrates various data sources including databases, spreadsheets, and cloud services in a unified interface. Quilt offers a wider range of data integration capabilities compared to PostgREST.

  2. Collaboration Features: Quilt focuses on enabling collaboration and sharing of data assets within and across teams through features like data lineage tracking, data annotations, and data versioning, while PostgREST primarily focuses on providing a fast and efficient REST API endpoint for PostgreSQL databases without extensive collaboration functionality. Quilt prioritizes collaborative data management over API generation.

  3. Visualization and Analysis: Quilt offers built-in tools for data visualization and analysis, allowing users to explore and derive insights from the integrated data sources within the platform itself, while PostgREST does not include native support for data visualization or analysis, requiring users to integrate external tools for such purposes. Quilt provides a more comprehensive data analysis environment compared to PostgREST.

  4. Security and Access Control: PostgREST offers basic authentication and authorization mechanisms to secure access to the database resources exposed through the REST API, whereas Quilt provides more advanced security features such as fine-grained access control, role-based permissions, and encryption of data at rest and in transit. Quilt prioritizes data security and access control mechanisms.

  5. Workflow Automation: Quilt includes workflow automation capabilities that allow users to create custom data pipelines, automate data ingestion and transformation processes, and schedule data refreshes, while PostgREST primarily focuses on providing static REST API endpoints without built-in workflow automation features. Quilt streamlines data workflows through automation tools.

  6. Customization and Extensibility: While PostgREST offers limited customization options for the generated API endpoints, Quilt provides a more flexible and extensible platform that allows users to extend the functionality through custom plugins, integrations with third-party services, and the development of custom data processing modules. Quilt offers a higher level of customization and extensibility compared to PostgREST.

In Summary, PostgREST primarily focuses on providing a simple REST API interface for PostgreSQL databases, whereas Quilt offers a comprehensive data collaboration and integration platform with advanced features such as data visualization, collaboration tools, and workflow automation.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

PostgREST
PostgREST
Quilt
Quilt

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.

Install data with one command. Discover packages from the community. Share your packages (or keep them private).

Statistics
GitHub Stars
-
GitHub Stars
1.4K
GitHub Forks
-
GitHub Forks
91
Stacks
59
Stacks
1
Followers
119
Followers
11
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
R Language
R Language
Python
Python

What are some alternatives to PostgREST, Quilt?

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase