StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. MySQL Performance Analyzer vs pganalyze

MySQL Performance Analyzer vs pganalyze

OverviewComparisonAlternatives

Overview

MySQL Performance Analyzer
MySQL Performance Analyzer
Stacks12
Followers90
Votes0
GitHub Stars1.4K
Forks212
pganalyze
pganalyze
Stacks19
Followers30
Votes0

MySQL Performance Analyzer vs pganalyze: What are the differences?

Introduction: In the realm of database performance analysis tools, MySQL Performance Analyzer and pganalyze are two popular options that cater to the specific needs of MySQL and PostgreSQL databases, respectively.

  1. Database Compatibility: MySQL Performance Analyzer is tailored for MySQL databases, providing detailed insights and monitoring specific to this database management system. In contrast, pganalyze focuses on PostgreSQL databases, offering specialized features and optimizations for this particular DBMS.

  2. Query Analysis Capabilities: MySQL Performance Analyzer offers in-depth analysis of SQL queries, helping users identify bottlenecks, optimize queries, and improve overall performance. On the other hand, pganalyze excels in query analysis as well, offering advanced query monitoring and tuning capabilities specifically designed for PostgreSQL databases.

  3. Visualizations and Dashboards: MySQL Performance Analyzer provides interactive visualizations and dashboards that give users a clear overview of database performance metrics, making it easier to spot trends and anomalies. Similarly, pganalyze offers visualizations and dashboards tailored for PostgreSQL databases, allowing users to track performance metrics and analyze data in a user-friendly interface.

  4. Index Recommendations: MySQL Performance Analyzer offers recommendations for index creation and optimization to enhance query performance in MySQL databases. pganalyze also provides index recommendations tailored to PostgreSQL databases, helping users fine-tune indexing strategies for optimal performance.

  5. Compatibility with Monitoring Tools: MySQL Performance Analyzer integrates seamlessly with various monitoring tools and services, allowing users to combine performance analysis with real-time monitoring for a comprehensive database management solution. Similarly, pganalyze offers integrations with monitoring tools to enhance its capabilities and provide a holistic approach to PostgreSQL database performance analysis.

  6. Pricing Models: MySQL Performance Analyzer and pganalyze may differ in their pricing models, with MySQL Performance Analyzer potentially offering different pricing tiers or licensing options compared to pganalyze. Users should consider their budget and specific requirements when choosing between the two tools.

In Summary, MySQL Performance Analyzer and pganalyze offer specialized performance analysis tools tailored for MySQL and PostgreSQL databases, respectively, with differences in database compatibility, query analysis capabilities, visualizations, index recommendations, compatibility with monitoring tools, and pricing models.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

MySQL Performance Analyzer
MySQL Performance Analyzer
pganalyze
pganalyze

MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.

The overview dashboard reveals which queries slow down your app, and during which times of the day your database performance suffers most. Log Insights and automated EXPLAIN plan insights give actionable advice on how to resolve issues.

-
Postgres Query Analysis, PostgreSQL Monitoring, Database Performance Visualization, Automatic Postgres EXPLAIN Analysis and Insights, pganalyze Log Insights, Postgres Performance Optimization, Cloud Service AND local on-premise version, Alerts & Notifications, System Health Check-Ups, Config Tuning, Vacuum Activity, Connection Insights, Schema Statistics
Statistics
GitHub Stars
1.4K
GitHub Stars
-
GitHub Forks
212
GitHub Forks
-
Stacks
12
Stacks
19
Followers
90
Followers
30
Votes
0
Votes
0
Integrations
MySQL
MySQL
Azure Database for PostgreSQL
Azure Database for PostgreSQL
Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Aiven
Aiven
Heroku Postgres
Heroku Postgres
Amazon RDS
Amazon RDS
PagerDuty
PagerDuty
Google Cloud SQL for PostgreSQL
Google Cloud SQL for PostgreSQL
Amazon Aurora
Amazon Aurora
Google Cloud SQL
Google Cloud SQL
Slack
Slack

What are some alternatives to MySQL Performance Analyzer, pganalyze?

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.

dbForge Studio for Oracle

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

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.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase