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

AzureDataStudio vs DBeaver

OverviewDecisionsComparisonAlternatives

Overview

DBeaver
DBeaver
Stacks555
Followers731
Votes67
GitHub Stars46.0K
Forks3.9K
AzureDataStudio
AzureDataStudio
Stacks89
Followers108
Votes0
GitHub Stars7.7K
Forks961

AzureDataStudio vs DBeaver: What are the differences?

Introduction:

Azure Data Studio and DBeaver are both popular database management tools used by developers and database administrators. While they serve a similar purpose, there are several key differences that set them apart from each other. In this article, we will explore these differences in detail.

  1. Operating System Compatibility: Azure Data Studio is a cross-platform tool that is compatible with Windows, macOS, and Linux operating systems. On the other hand, DBeaver is also a cross-platform tool but is compatible with a wider range of operating systems including Windows, macOS, Linux, and Solaris. Therefore, if you are using an operating system other than Windows, Azure Data Studio might be a more suitable choice.

  2. Supported Databases: Both Azure Data Studio and DBeaver support a wide range of databases including popular ones like SQL Server, MySQL, PostgreSQL, and MongoDB. However, Azure Data Studio has built-in support for Azure SQL Database, while DBeaver provides extensions to connect to various cloud databases. Therefore, if you are primarily working with Azure SQL Database, Azure Data Studio might offer a smoother experience.

  3. User Interface: Azure Data Studio has a more modern and streamlined user interface with a focus on simplicity and ease of use. It provides a clean and intuitive interface that makes it easy to navigate and perform database-related tasks. On the other hand, DBeaver has a more traditional user interface that resembles other popular database management tools like MySQL Workbench. If you prefer a more familiar interface, DBeaver might be a better choice for you.

  4. Advanced Features: Azure Data Studio is a lightweight tool that focuses on providing basic database management capabilities. It offers features like query editing, data visualization, and basic administration tasks. DBeaver, on the other hand, provides a more comprehensive set of features including advanced database administration, data modeling, and integration with other development tools. If you need more advanced functionality, DBeaver might be the better option.

  5. Community Support: Azure Data Studio benefits from being a part of the Microsoft ecosystem and has a large and active community of users and contributors. It has good documentation and community support channels where you can ask questions and get help with any issues you encounter. DBeaver also has a strong community backing with active forums and a dedicated support team. Both tools have their own communities, so the choice here might depend on your personal preference.

  6. Integration with Azure Services: As the name suggests, Azure Data Studio integrates seamlessly with various Azure services and provides a convenient way to manage and query Azure databases. It offers features like Azure portal integration, server and database registration, and querying Azure SQL Database directly. DBeaver, on the other hand, does not have built-in support for Azure services but provides extensions to connect to external cloud databases. If you are working extensively with Azure services, Azure Data Studio offers better integration and convenience.

In summary, Azure Data Studio and DBeaver are both powerful database management tools with their own strengths and weaknesses. The choice between them depends on factors like operating system compatibility, database requirements, user interface preferences, desired features, community support, and integration with Azure services.

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Advice on DBeaver, 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

DBeaver
DBeaver
AzureDataStudio
AzureDataStudio

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.

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.

-
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
46.0K
GitHub Stars
7.7K
GitHub Forks
3.9K
GitHub Forks
961
Stacks
555
Stacks
89
Followers
731
Followers
108
Votes
67
Votes
0
Pros & Cons
Pros
  • 22
    Free
  • 13
    Platform independent
  • 9
    Automatic driver download
  • 7
    Import-Export Data
  • 6
    Simple to use
No community feedback yet
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Presto
Presto
MariaDB
MariaDB
Java
Java
Apache Hive
Apache Hive
Microsoft SQL Server
Microsoft SQL Server
macOS
macOS
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 DBeaver, 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.

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.

PostGIS

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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