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. PostGIS vs PostgREST

PostGIS vs PostgREST

OverviewComparisonAlternatives

Overview

PostgREST
PostgREST
Stacks59
Followers119
Votes8
PostGIS
PostGIS
Stacks381
Followers377
Votes30
GitHub Stars2.0K
Forks407

PostGIS vs PostgREST: What are the differences?

<Write Introduction here>
  1. Data Manipulation: PostGIS is a spatial extension for PostgreSQL that adds support for geographic objects, allowing users to easily store, manipulate, and analyze spatial data, while PostgREST is a standalone web server that automatically generates a REST API from a PostgreSQL database, enabling users to access and interact with their data using HTTP protocols.

  2. Querying: PostGIS provides advanced geospatial functions and indexing capabilities for efficient querying and analysis of geographic data, whereas PostgREST simplifies the querying process by automatically generating and handling SQL queries based on HTTP requests without the need for manual coding.

  3. API Development: PostGIS focuses on providing spatial data management capabilities within a PostgreSQL database, while PostgREST specifically targets developers who want to expose their PostgreSQL data as RESTful APIs with minimal effort.

  4. Security Features: PostGIS does not have built-in security features specifically for handling API requests, whereas PostgREST offers authentication and authorization mechanisms to secure access to the generated REST API endpoints and protect sensitive data stored in the PostgreSQL database.

  5. Performance Optimization: PostGIS optimizes spatial queries and indexing for geographic data processing, while PostgREST is designed for high-performance API generation from PostgreSQL databases and may require additional configuration for optimizing query execution and response times.

  6. Community Support: PostGIS has a large and active community of users and developers who contribute to ongoing development and support, while PostgREST has a smaller but dedicated community focused on improving the functionality and usability of the tool for API development.

In Summary, PostGIS is an extension for handling spatial data in PostgreSQL, while PostgREST is a tool for automatically generating REST APIs from PostgreSQL databases with a focus on simplifying API development and data access.

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
PostGIS
PostGIS

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.

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

-
Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying, and collecting/unioning with the power of SQL;raster map algebra for fine-grained raster processing;Spatial reprojection SQL callable functions for both vector and raster data;Support for importing / exporting ESRI shapefile vector data via both commandline and GUI packaged tools and support for more formats via other 3rd-party Open Source tools
Statistics
GitHub Stars
-
GitHub Stars
2.0K
GitHub Forks
-
GitHub Forks
407
Stacks
59
Stacks
381
Followers
119
Followers
377
Votes
8
Votes
30
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
  • 25
    De facto GIS in SQL
  • 5
    Good Documentation
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to PostgREST, PostGIS?

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