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AzureDataStudio
ByAzure-data-studioAzure-data-studio

AzureDataStudio

#104in Databases
Discussions0
Followers108
OverviewDiscussions

What is AzureDataStudio?

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.

AzureDataStudio is a tool in the Databases category of a tech stack.

Key Features

Cross-Platform DB management for Windows, macOS and Linux with simple XCopy deploymentSQL Server Connection Management with Connection Dialog, Server Groups, Azure Integration and Registered ServersObject Explorer supporting schema browsing and contextual command executionT-SQL Query Editor with advanced coding features such as autosuggestions, error diagnostics, tooltips, formatting and peek definitionQuery Results Viewer with advanced data grid supporting large result sets, export to JSON\CSV\Excel, query plan and chartingManagement Dashboard supporting customizable widgets with drill-through actionable insightsVisual Data Editor that enables direct row insertion, update and deletion into tables

AzureDataStudio Pros & Cons

Pros of AzureDataStudio

No pros listed yet.

Cons of AzureDataStudio

No cons listed yet.

AzureDataStudio Alternatives & Comparisons

What are some alternatives to AzureDataStudio?

Slick

Slick

It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.

Spring Data

Spring Data

It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.

DataGrip

DataGrip

A cross-platform IDE that is aimed at DBAs and developers working with SQL 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.

DB

DB

With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.

dbt

dbt

dbt is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

AzureDataStudio Integrations

Linux, Git, macOS, Microsoft SQL Server, Windows and 2 more are some of the popular tools that integrate with AzureDataStudio. Here's a list of all 7 tools that integrate with AzureDataStudio.

Linux
Linux
Git
Git
macOS
macOS
Microsoft SQL Server
Microsoft SQL Server
Windows
Windows
Azure SQL Database
Azure SQL Database
Snowplow
Snowplow

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