MariaDB vs MySQL Performance Analyzer

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

MySQL Performance Analyzer

Stacks12

Followers90

Votes0

GitHub Stars1.4K

Forks212

MariaDB vs MySQL Performance Analyzer: What are the differences?

MariaDB and MySQL Performance Analyzer are two popular tools used for monitoring and analyzing the performance of MariaDB and MySQL databases. While they have similar functionalities, there are several key differences between them that distinguish their performance analysis capabilities.

Graphical User Interface: MariaDB Performance Analyzer provides a web-based graphical user interface (GUI) that allows users to easily navigate through the various performance metrics and visualize the data in an intuitive manner. On the other hand, MySQL Performance Analyzer relies on a command-line interface (CLI), which may require more technical expertise and can be less user-friendly for those who prefer a GUI.
Compatibility with Database Versions: MariaDB Performance Analyzer is specifically designed for monitoring and analyzing performance in MariaDB databases, while MySQL Performance Analyzer is tailored for MySQL databases. This means that each tool is optimized for their respective database systems, ensuring better compatibility and performance analysis capabilities for the specific database version.
Query Profiling: MariaDB Performance Analyzer offers advanced query profiling features that allow users to identify and analyze slow queries and bottlenecks in their database system. With detailed query performance statistics, including execution time, resource usage, and optimization recommendations, users can optimize their queries for better performance. In contrast, MySQL Performance Analyzer may provide less detailed query profiling information, making it less effective for in-depth query analysis.
Customizable Dashboards: MariaDB Performance Analyzer allows users to create customized dashboards, selecting and displaying specific performance metrics that are relevant to their needs. This flexibility enables users to focus on the metrics that matter the most to them and tailor the performance analysis according to their requirements. Conversely, MySQL Performance Analyzer may have limited options for customization, which can restrict users from viewing specific metrics and hinder their ability to analyze performance in a more granular way.
Integration with Other Tools: MariaDB Performance Analyzer is part of the MariaDB ecosystem and has seamless integration with other MariaDB tools and services, such as MariaDB Server, MariaDB MaxScale, and MariaDB ColumnStore. This integration allows for a more holistic and comprehensive performance analysis, taking into account the entire MariaDB infrastructure. Whereas, MySQL Performance Analyzer may have limitations in terms of integration with other MySQL tools and services, potentially limiting the scope of analysis.
Pricing and Licensing: MariaDB Performance Analyzer is available as part of the MariaDB Enterprise subscription, which includes additional features, support, and services from MariaDB Corporation. In contrast, MySQL Performance Analyzer is released under the Oracle Free Software License, making it freely available for use without any additional cost. The difference in pricing and licensing models gives users distinct options based on their specific requirements and budget.

In Summary, MariaDB Performance Analyzer offers a GUI, specific optimization for MariaDB, advanced query profiling, customizable dashboards, integration with MariaDB ecosystem, and comes with a commercial pricing model, whereas MySQL Performance Analyzer relies on a CLI, is specific to MySQL, provides limited query profiling, has less customization options, may have limitations in integration with other tools, and is freely available under the Oracle Free Software License.

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Advice on MariaDB, MySQL Performance Analyzer

Maxim

student at USI

Aug 25, 2020

Needs adviceon

Node.js

Mongoose

PostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k

Comments

Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k

Comments

Detailed Comparison

MariaDB	MySQL Performance Analyzer
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.	MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	-
Statistics
GitHub Stars 6.6K	GitHub Stars 1.4K
GitHub Forks 1.9K	GitHub Forks 212
Stacks 16.5K	Stacks 12
Followers 12.8K	Followers 90
Votes 468	Votes 0
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	No community feedback yet
Integrations
No integrations available	MySQL

What are some alternatives to MariaDB, MySQL Performance Analyzer?

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.

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.

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.

Related Comparisons

MariaDB vs MySQL Performance Analyzer: What are the differences?

Graphical User Interface: MariaDB Performance Analyzer provides a web-based graphical user interface (GUI) that allows users to easily navigate through the various performance metrics and visualize the data in an intuitive manner. On the other hand, MySQL Performance Analyzer relies on a command-line interface (CLI), which may require more technical expertise and can be less user-friendly for those who prefer a GUI.
Compatibility with Database Versions: MariaDB Performance Analyzer is specifically designed for monitoring and analyzing performance in MariaDB databases, while MySQL Performance Analyzer is tailored for MySQL databases. This means that each tool is optimized for their respective database systems, ensuring better compatibility and performance analysis capabilities for the specific database version.
Query Profiling: MariaDB Performance Analyzer offers advanced query profiling features that allow users to identify and analyze slow queries and bottlenecks in their database system. With detailed query performance statistics, including execution time, resource usage, and optimization recommendations, users can optimize their queries for better performance. In contrast, MySQL Performance Analyzer may provide less detailed query profiling information, making it less effective for in-depth query analysis.
Customizable Dashboards: MariaDB Performance Analyzer allows users to create customized dashboards, selecting and displaying specific performance metrics that are relevant to their needs. This flexibility enables users to focus on the metrics that matter the most to them and tailor the performance analysis according to their requirements. Conversely, MySQL Performance Analyzer may have limited options for customization, which can restrict users from viewing specific metrics and hinder their ability to analyze performance in a more granular way.
Integration with Other Tools: MariaDB Performance Analyzer is part of the MariaDB ecosystem and has seamless integration with other MariaDB tools and services, such as MariaDB Server, MariaDB MaxScale, and MariaDB ColumnStore. This integration allows for a more holistic and comprehensive performance analysis, taking into account the entire MariaDB infrastructure. Whereas, MySQL Performance Analyzer may have limitations in terms of integration with other MySQL tools and services, potentially limiting the scope of analysis.
Pricing and Licensing: MariaDB Performance Analyzer is available as part of the MariaDB Enterprise subscription, which includes additional features, support, and services from MariaDB Corporation. In contrast, MySQL Performance Analyzer is released under the Oracle Free Software License, making it freely available for use without any additional cost. The difference in pricing and licensing models gives users distinct options based on their specific requirements and budget.

MariaDB vs MySQL Performance Analyzer

Overview