Azure Data Studio is a lightweight, cross-platform data management and development tool for data professionals. It provides a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal, making it easier to manage and develop databases.
With Windows, macOS, and Linux support, Azure Data Studio allows you to connect to various databases, including Azure SQL, SQL Server, MySQL, PostgreSQL, and Cosmos DB. Its extensibility enables users to customize their experience by installing relevant extensions for their workflow.
Azure Data Studio's familiar interface offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. Engineered with the data platform user in mind, its extensibility allows users to customize their experience by installing the extensions relevant to their workflow, including database migrations, charting, GitHub Copilot, and more!
The source code for Azure Data Studio and its data providers is available on GitHub under a source code EULA that provides rights to modify and use the software but not redistributing it or hosting it in a cloud service. See Azure Data Studio FAQ for more information.
Azure Data Studio offers a modern, keyboard-focused SQL coding experience that makes everyday tasks easier with built-in features like multiple tab windows, a rich SQL editor, IntelliSense, keyword completion, code snippets, code navigation, and source control integration (Git). Run on-demand SQL queries and view and save results as text, JSON, or Excel. Edit data, organize your favorite database connections, and browse database objects in a familiar object browsing experience. To learn how to use the SQL editor, see Use the SQL editor to create database objects.
Smart SQL code snippets
SQL code snippets generate the proper SQL syntax to create databases, tables, views, stored procedures, users, logins, and roles and update existing database objects. Use smart snippets to quickly create copies of your database for development or testing purposes and to generate and execute CREATE and INSERT scripts.
Azure Data Studio also provides functionality to create custom SQL code snippets. See Create and use code snippets to learn more.
Customizable Server and Database Dashboards
Create rich customizable dashboards to monitor and quickly troubleshoot performance bottlenecks in your databases. To learn about insight widgets and database (and server) dashboards, see Manage servers and databases with insight widgets.
Connection management (server groups)
Server groups provide a way to organize connection information for the servers and databases you work with. For details, see Server groups.
Integrated Terminal
You can use your favorite command-line tools (for example, Bash, PowerShell, sqlcmd, BCP, and ssh) in the Integrated Terminal window right within the Azure Data Studio user interface. See Integrated terminal to learn about the integrated terminal.
Extensibility and extension authoring
Enhance the Azure Data Studio experience by extending the functionality of the base installation. Azure Data Studio provides extensibility points for data management activities and support for extension authoring.
To learn about extensibility in Azure Data Studio, see Extensibility.
See Extension authoring to learn about authoring extensions.
Feature comparison with SQL Server Management Studio (SSMS)
Use Azure Data Studio if you:
Are mostly editing or executing queries.
Need the ability to chart and visualize result sets quickly.
Can execute most administrative tasks via the integrated terminal using sqlcmd or PowerShell.
Have minimal need for wizard experiences.
You don't need to do deep administrative or platform-related configuration.
It needs to run on macOS or Linux.
Use SQL Server Management Studio if you:
Are doing complex administrative or platform configuration.
Are doing security management, including user management, vulnerability assessment, and configuration of security features.Need to make use of performance tuning advisors and dashboards.
Use database diagrams and table designers.
Need access to Registered Servers.
Make use of live query stats or client statistics.
Shell features
Feature
Azure Data Studio
SSMS
Azure Sign-In
Yes
Yes
Dashboard
Yes
Extensions
Yes
Integrated Terminal
Yes
Object Explorer
Yes
Yes
Object Scripting
Yes
Yes
Select from Table
Yes
Yes
Source Code Control
Yes
Task Pane
Yes
Themes, including Dark Mode
Yes
Azure Resource Explorer
Yes
Generate Scripts Wizard
Yes
Object Properties
Preview
Yes
Table Designer
Yes
Yes
Query Editor
Feature
Azure Data Studio
SSMS
Chart Viewer
Yes
Export Results to CSV, JSON, XLSX
Yes
Results to File
Yes
Results to Text
Yes
IntelliSense
Yes
Yes
Snippets
Yes
Yes
Show Plan
Yes
Yes
Client Statistics
Yes
Live Query Stats
Yes
Query Options
Yes
Spatial Viewer
Yes
SQLCMD
Yes
Yes
Operating System Support
Feature
Azure Data Studio
SSMS
Windows
Yes
Yes
macOS
Yes
Linux
Yes
Data Engineering
Feature
Azure Data Studio
SSMS
External Data Wizard
Preview
HDFS Integration
Preview
Notebooks
Preview
Database Administration
Feature
Azure Data Studio
SSMS
Backup / Restore
Preview
Yes
Flat File Import
Yes
Yes
SQL Agent
Preview
Yes
SQL Profiler
Preview
Yes
Always On
Yes
Always Encrypted
Yes
Copy Data Wizard
Yes
Data Tuning Advisor
Yes
Database Diagrams
Yes
Error Log Viewer
Yes
Maintenance Plans
Yes
Multi-Server Query
Yes
Policy Based Management
Yes
PolyBase
Yes
Query Store
Yes
Registered Servers
Yes
Replication
Yes
Security Management
Yes
Yes
Service Broker
Yes
SQL Assessment
Preview
Yes
SQL Mail
Yes
Template Explorer
Yes
Vulnerability Assessment
Yes
XEvent Management
Yes
Database Development
Feature
Azure Data Studio
SSMS
Import\Export DACPAC
Yes
Yes
SQL Projects
Preview
Schema Compare
Yes
SQL Tools Service
Azure Data Studio uses the SqlToolsService as the application's SQL API layer. SQL Tools Service is .NET-based and open source under the MIT license. For SQL connectivity, SQL Tools Service uses Microsoft.Data.SqlClient as the SQL driver.
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Administer an SQL Server database infrastructure for cloud, on-premises and hybrid relational databases using the Microsoft PaaS relational database offerings.