PostgREST vs SQLite

Overview

SQLite

Stacks19.9K

Followers15.2K

Votes535

PostgREST

Stacks60

Followers119

Votes8

PostgREST vs SQLite: What are the differences?

PostgREST and SQLite are both popular databases used in web development, but they have key differences that developers should be aware of.

Data Storage: SQLite is a self-contained, serverless, zero-configuration, transactional SQL database engine. PostgREST, on the other hand, is a standalone web server that turns a PostgreSQL database directly into a RESTful API.
Concurrency: SQLite is optimized for concurrency on a single machine as it locks the entire database when writing. PostgREST, being a web server, can handle multiple concurrent requests and connections efficiently.
Scalability: SQLite is not designed for high volume web applications as it does not support high concurrency or write-heavy operations. PostgREST, being built on top of PostgreSQL, can handle large-scale web applications with high performance and scalability.
Complexity: SQLite is simple to set up and use, making it ideal for small projects or prototypes. PostgREST, on the other hand, requires more setup and configuration due to its integration with PostgreSQL, but it offers more advanced features and capabilities for larger projects.
API Functionality: PostgREST automatically generates a RESTful API from a PostgreSQL database, providing powerful CRUD operations out of the box. SQLite, being a serverless database, does not have built-in API functionality and would require additional layers to serve as a backend for a web application.
Authentication and Authorization: PostgREST provides robust support for authentication and authorization through JSON Web Tokens or OAuth2, while SQLite would require custom implementations for securing access to data resources in a web application.

In Summary, PostgREST and SQLite differ in terms of their data storage, concurrency, scalability, complexity, API functionality, and authentication/authorization capabilities.

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Advice on SQLite, PostgREST

Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k

Comments

Detailed Comparison

SQLite	PostgREST
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.	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.
Statistics
Stacks 19.9K	Stacks 60
Followers 15.2K	Followers 119
Votes 535	Votes 8
Pros & Cons
Pros 163 Lightweight 135 Portable 122 Simple 81 Sql 29 Preinstalled on iOS and Android Cons 2 Not for multi-process of multithreaded apps 1 Needs different binaries for each platform	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

What are some alternatives to SQLite, PostgREST?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

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.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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

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.

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PostgREST vs SQLite: What are the differences?

PostgREST and SQLite are both popular databases used in web development, but they have key differences that developers should be aware of.

Data Storage: SQLite is a self-contained, serverless, zero-configuration, transactional SQL database engine. PostgREST, on the other hand, is a standalone web server that turns a PostgreSQL database directly into a RESTful API.
Concurrency: SQLite is optimized for concurrency on a single machine as it locks the entire database when writing. PostgREST, being a web server, can handle multiple concurrent requests and connections efficiently.
Scalability: SQLite is not designed for high volume web applications as it does not support high concurrency or write-heavy operations. PostgREST, being built on top of PostgreSQL, can handle large-scale web applications with high performance and scalability.
Complexity: SQLite is simple to set up and use, making it ideal for small projects or prototypes. PostgREST, on the other hand, requires more setup and configuration due to its integration with PostgreSQL, but it offers more advanced features and capabilities for larger projects.
API Functionality: PostgREST automatically generates a RESTful API from a PostgreSQL database, providing powerful CRUD operations out of the box. SQLite, being a serverless database, does not have built-in API functionality and would require additional layers to serve as a backend for a web application.
Authentication and Authorization: PostgREST provides robust support for authentication and authorization through JSON Web Tokens or OAuth2, while SQLite would require custom implementations for securing access to data resources in a web application.

In Summary, PostgREST and SQLite differ in terms of their data storage, concurrency, scalability, complexity, API functionality, and authentication/authorization capabilities.