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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs phpMyAdmin

Galera Cluster vs phpMyAdmin

OverviewDecisionsComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
phpMyAdmin
phpMyAdmin
Stacks352
Followers307
Votes15

Galera Cluster vs phpMyAdmin: What are the differences?

Developers describe Galera Cluster as "A Multi-Master Cluster based on synchronous replication for MySQL". It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error. On the other hand, phpMyAdmin is detailed as "A free software, for MySQL and MariaDB". 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.

Galera Cluster and phpMyAdmin are primarily classified as "Databases" and "Database" tools respectively.

Galera Cluster is an open source tool with 279 GitHub stars and 118 GitHub forks. Here's a link to Galera Cluster's open source repository on GitHub.

According to the StackShare community, phpMyAdmin has a broader approval, being mentioned in 11 company stacks & 19 developers stacks; compared to Galera Cluster, which is listed in 14 company stacks and 5 developer stacks.

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Advice on Galera Cluster, phpMyAdmin

Adam
Adam

IT Consultant

Jan 14, 2020

Decided

We were looking a tool that would allow us to do MySQL and PostgreSQL development/administration from a single tool. We decided on Navicat Premium because it can connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases - and simultaneously. It's also compatible with Amazon RDS and Microsoft Azure, which we also use.

Moreover, we previously experienced the occasional freezing and crashing in MySQL Workbench. It also suffered from a poor design, with certain features being a bit difficult to find. Meanwhile, phpMyAdmin lacked schema visualization tools and seemed better suited to lightweight day to day transactions than some of the big jobs that we needed to do.

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Detailed Comparison

Galera Cluster
Galera Cluster
phpMyAdmin
phpMyAdmin

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

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.

True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better performance.
-
Statistics
Stacks
54
Stacks
352
Followers
102
Followers
307
Votes
0
Votes
15
Pros & Cons
No community feedback yet
Pros
  • 5
    User administration
  • 5
    Query linter
  • 5
    Easy data access
Cons
  • 1
    Insecure
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
GitHub
GitHub
PHP
PHP
Bootstrap
Bootstrap
MariaDB
MariaDB
MySQL
MySQL
JavaScript
JavaScript
Docker Hub
Docker Hub
jQuery
jQuery
PHPUnit
PHPUnit
PHPStan
PHPStan

What are some alternatives to Galera Cluster, phpMyAdmin?

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.

MySQL

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

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

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

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

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

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

SQLite

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

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.

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