Overview

MySQL

Stacks128.5K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

phpMyAdmin

Stacks327

Followers307

Votes15

MySQL vs phpMyAdmin: What are the differences?

Introduction

MySQL and phpMyAdmin are two commonly used tools in web development for managing databases. While both are used for working with MySQL databases, there are several key differences between the two.

Installation and Configuration: MySQL is a relational database management system (RDBMS) that needs to be installed and configured separately on a server. phpMyAdmin, on the other hand, is a web-based application that can be installed on a server with a web server and PHP installed. It provides a graphical user interface (GUI) for managing MySQL databases.
User Interface: MySQL does not have a built-in graphical user interface and is typically managed using command-line tools or scripts. phpMyAdmin, on the other hand, provides a user-friendly web-based interface with a range of features like database management, query execution, and import/export functionalities.
Security: MySQL has its own built-in security features, such as user authentication and access control, allowing administrators to set privileges for different users. phpMyAdmin also provides authentication features but is dependent on the security measures implemented by the web server or hosting environment it is installed on. Additional security measures may need to be implemented to secure the phpMyAdmin installation.
Compatibility: MySQL is a standalone database management system that can be used with different programming languages and frameworks. It provides a standardized way to interact with databases. phpMyAdmin, on the other hand, is specifically designed for managing MySQL databases and is often used in conjunction with other web development tools.
Functionality: MySQL provides a comprehensive set of features for managing and querying databases. It supports advanced database concepts such as transactions, stored procedures, triggers, and views. phpMyAdmin, while offering many features for managing MySQL databases, may not have the same level of functionality as working directly with MySQL through command-line or an integrated development environment (IDE).
Accessibility: MySQL can be accessed remotely using client applications or libraries that support the MySQL protocol. These clients allow developers to connect to the database from any location and perform database operations. phpMyAdmin, on the other hand, is accessed through a web browser, making it accessible from anywhere with an internet connection. However, it requires a server with PHP and a web server to be installed and configured.

In summary, MySQL and phpMyAdmin have different installation methods, user interfaces, security features, compatibility levels, functionalities, and accessibility options. While MySQL provides a powerful command-line interface and can be used with various programming languages, phpMyAdmin offers a user-friendly web-based GUI specifically for managing MySQL databases.

Advice on MySQL, phpMyAdmin

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

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

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either MySQL or PostgreSQL on a Linux based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

668k views668k

Comments

Detailed Comparison

MySQL	phpMyAdmin
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.	As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services.
Statistics
GitHub Stars 11.8K	GitHub Stars -
GitHub Forks 4.1K	GitHub Forks -
Stacks 128.5K	Stacks 327
Followers 108.6K	Followers 307
Votes 3.8K	Votes 15
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 5 User administration 5 Easy data access 5 Query linter Cons 1 Insecure
Integrations
No integrations available	GitHub PHP Bootstrap MariaDB JavaScript Docker Hub jQuery PHPUnit PHPStan Yarn

What are some alternatives to MySQL, phpMyAdmin?

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.

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.

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

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.

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Microsoft SQL Server

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

SQLite

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.

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.