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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. AzureDataStudio vs pganalyze

AzureDataStudio vs pganalyze

OverviewDecisionsComparisonAlternatives

Overview

pganalyze
pganalyze
Stacks19
Followers30
Votes0
AzureDataStudio
AzureDataStudio
Stacks89
Followers108
Votes0
GitHub Stars7.7K
Forks961

AzureDataStudio vs pganalyze: What are the differences?

# Introduction

1. **Integration with Different Database Systems**: Azure Data Studio provides support for a wide range of database systems, including Microsoft SQL Server, PostgreSQL, MySQL, and more. In contrast, pganalyze is specifically designed for PostgreSQL database management and analysis.
2. **Price Model**: Azure Data Studio is a free and open-source tool developed by Microsoft, while pganalyze follows a subscription-based pricing model. Users can pay for pganalyze based on the number of PostgreSQL databases they manage.
3. **Feature Focus**: Azure Data Studio offers a comprehensive set of features for database development, querying, and administration across various database systems. pganalyze, on the other hand, focuses primarily on performance tuning, monitoring, and optimization specifically for PostgreSQL databases.
4. **UI Design**: Azure Data Studio features a modern, customizable interface with a wide range of themes and extensions. In comparison, pganalyze's UI design is tailored for efficient analysis of PostgreSQL database performance metrics and query optimization.
5. **Cross-Platform Support**: Azure Data Studio is designed to work on multiple operating systems, including Windows, macOS, and Linux. On the other hand, pganalyze is a cloud-based service accessible through a web browser, providing platform flexibility but requiring an internet connection for use.
6. **Community and Support**: Azure Data Studio benefits from the extensive Microsoft community and support resources, offering a wide array of documentation, forums, and plugins. In contrast, pganalyze provides dedicated support for PostgreSQL database performance issues and optimizations.

In Summary, Azure Data Studio and pganalyze offer distinct approaches to database management and analysis, catering to different user needs and preferences. Azure Data Studio provides comprehensive multi-database support with an open-source model and extensive community resources, while pganalyze is focused on PostgreSQL-specific performance tuning through a subscription-based service with dedicated support.

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Advice on pganalyze, AzureDataStudio

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments

Detailed Comparison

pganalyze
pganalyze
AzureDataStudio
AzureDataStudio

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.

It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux.

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
Cross-Platform DB management for Windows, macOS and Linux with simple XCopy deployment; SQL Server Connection Management with Connection Dialog, Server Groups, Azure Integration and Registered Servers; Object Explorer supporting schema browsing and contextual command execution; T-SQL Query Editor with advanced coding features such as autosuggestions, error diagnostics, tooltips, formatting and peek definition; Query Results Viewer with advanced data grid supporting large result sets, export to JSON\CSV\Excel, query plan and charting; Management Dashboard supporting customizable widgets with drill-through actionable insights; Visual Data Editor that enables direct row insertion, update and deletion into tables
Statistics
GitHub Stars
-
GitHub Stars
7.7K
GitHub Forks
-
GitHub Forks
961
Stacks
19
Stacks
89
Followers
30
Followers
108
Votes
0
Votes
0
Integrations
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
Linux
Linux
Git
Git
macOS
macOS
Microsoft SQL Server
Microsoft SQL Server
Windows
Windows
Azure SQL Database
Azure SQL Database

What are some alternatives to pganalyze, AzureDataStudio?

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.

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