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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MySQL vs PostgreSQL vs SQLite

MySQL vs PostgreSQL vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535

MySQL vs PostgreSQL vs SQLite: What are the differences?

Introduction

MySQL, PostgreSQL, and SQLite are all popular relational database management systems (RDBMS) used for managing and storing structured data. While they share similarities, there are key differences that make each one suitable for different use cases. In this article, we will explore the key differences between MySQL, PostgreSQL, and SQLite.

  1. Data Types and Features: MySQL offers a broad range of data types and features, making it suitable for diverse applications. It provides support for spatial data types and can handle large amounts of data efficiently. PostgreSQL, on the other hand, provides a more extensive set of built-in data types, including array and JSON data types. It also offers advanced features like table inheritance and full-text search. SQLite, being a lightweight database, has a limited set of data types and lacks some advanced features like foreign key constraints and stored procedures.

  2. Performance and Scalability: MySQL is known for its excellent performance and scalability. It can handle high traffic websites and large databases effectively. PostgreSQL, while having a slightly higher overhead, excels in handling complex queries and heavy workloads. It offers advanced indexing options and query optimization techniques. SQLite, being a file-based database, is not designed for high concurrency or high write loads. It performs well in scenarios where simplicity and portability are important.

  3. ACID Compliance and Transactions: MySQL and PostgreSQL are both ACID compliant, providing transactional capabilities and ensuring data integrity. They support multi-version concurrency control (MVCC) to handle concurrent access to the database. SQLite is also ACID compliant but uses a different concurrency control mechanism, giving it a simpler and more lightweight design. It is primarily suited for single-user applications or embedded systems.

  4. Cross-Platform Support: MySQL, PostgreSQL, and SQLite are all cross-platform databases that can run on various operating systems, including Linux, Windows, and macOS. MySQL is particularly well-known for its compatibility with different platforms, making it easy to deploy and maintain. PostgreSQL also offers excellent cross-platform support and is widely used in enterprise applications. SQLite, being a file-based database, can be embedded in applications without the need for a separate server process.

  5. Community and Ecosystem: MySQL has a large and active community of users and developers, with extensive documentation and numerous third-party tools and libraries available. It is widely supported by various hosting providers and has a rich ecosystem built around it. PostgreSQL also has a vibrant community and an extensive range of extensions and add-ons. SQLite has a smaller community but is well-established and supported by numerous programming languages and frameworks.

  6. Licensing: MySQL follows a dual licensing model, offering both a free and open-source version (GPL) and a commercial version with additional features and support. PostgreSQL is an open-source database released under the PostgreSQL License, which allows free use, modification, and redistribution. SQLite, in contrast, is public domain software and can be used for any purpose without restrictions.

In summary, MySQL offers a comprehensive set of features, excellent performance, and scalability, making it suitable for a wide range of applications. PostgreSQL provides advanced features, robustness, and performance optimization for complex scenarios. SQLite, on the other hand, is lightweight and portable, ideal for embedded systems or simple single-user applications. The choice between them depends on the specific requirements and constraints of the project.

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Advice on MySQL, PostgreSQL, SQLite

George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
BrockHerion
BrockHerion

May 6, 2020

Needs adviceonMongoDBMongoDBPostgreSQLPostgreSQL

Hi everybody, I'm developing an application to be used in a gym setting where athletes fill out a health survey, and coaches can analyze the results. However, due to the dynamic nature of some aspects of the app and more static aspects of the other, I am wondering if/how I would integrate MongoDB with my existing PostgreSQL database. I would like to store things like registrations, license information, and club information in Postgres, while I am thinking about moving things like user surveys, logging, and user settings information over to MongoDB. Some fields on the survey are integers, some large blocks of text, and some are arrays. My thought is, if I moved that data to MongoDB, it would give us greater flexibility in terms of adding and removing fields and data to them, and it would scale a lot easier than Postgres. Not to mention it will be easier to organize that kind of data. Is that overkill or am I approaching this issue the right way? Thank you!

691k views691k
Comments

Detailed Comparison

MySQL
MySQL
PostgreSQL
PostgreSQL
SQLite
SQLite

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 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.

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.

Statistics
GitHub Stars
11.8K
GitHub Stars
19.0K
GitHub Stars
-
GitHub Forks
4.1K
GitHub Forks
5.2K
GitHub Forks
-
Stacks
129.6K
Stacks
103.0K
Stacks
19.9K
Followers
108.6K
Followers
83.9K
Followers
15.2K
Votes
3.8K
Votes
3.6K
Votes
535
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
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

What are some alternatives to MySQL, PostgreSQL, SQLite?

MongoDB

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.

Microsoft SQL Server

Microsoft SQL Server

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

Cassandra

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

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

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

CouchDB

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

Oracle

Oracle

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

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