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 Database Tools category of a tech stack.
AzureDataStudio is an open source tool with 7.6K GitHub stars and 908 GitHub forks. Here’s a link to AzureDataStudio's open source repository on GitHub
Who uses AzureDataStudio?
Companies
19 companies reportedly use AzureDataStudio in their tech stacks, including Alibaba Travels, Armut, and Weland Solutions AB.
Developers
67 developers on StackShare have stated that they use AzureDataStudio.
AzureDataStudio Integrations
Git, Microsoft SQL Server, Linux, Windows, and Azure SQL Database are some of the popular tools that integrate with AzureDataStudio. Here's a list of all 7 tools that integrate with AzureDataStudio.
Decisions about AzureDataStudio
Here are some stack decisions, common use cases and reviews by companies and developers who chose AzureDataStudio in their tech stack.
Manikandan Shanmugam
Software Engineer at Blitzscaletech Software Solution · | 4 upvotes · 1.7M views
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.
AzureDataStudio's Features
- 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
AzureDataStudio Alternatives & Comparisons
What are some alternatives to AzureDataStudio?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
