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

AzureDataStudio vs DataGrip

OverviewDecisionsComparisonAlternatives

Overview

DataGrip
DataGrip
Stacks576
Followers661
Votes17
AzureDataStudio
AzureDataStudio
Stacks89
Followers108
Votes0
GitHub Stars7.7K
Forks961

AzureDataStudio vs DataGrip: What are the differences?

  1. User Interface: Azure Data Studio is a lightweight, cross-platform database tool designed for people who work with data. It has a clean and intuitive user interface that is easy to navigate and use. DataGrip, on the other hand, is a powerful and feature-rich IDE for database management and development. It has a more complex user interface with a wide range of options and tools.
  2. Platform Compatibility: Azure Data Studio is built on top of the open-source Visual Studio Code platform and is compatible with Windows, macOS, and Linux. This allows for a consistent experience across different operating systems. DataGrip, on the other hand, is primarily built for Windows and macOS, with limited support for Linux.
  3. Supported Databases: Azure Data Studio primarily supports Microsoft Azure databases, such as Azure SQL Database and Azure Cosmos DB, as well as SQL Server on-premises and in the cloud. DataGrip, on the other hand, supports a wide range of databases, including but not limited to SQL Server, MySQL, PostgreSQL, Oracle, and MongoDB.
  4. Integration with Source Control: Azure Data Studio has built-in support for Git, allowing users to easily manage their code and version control directly within the tool. It provides features such as diff view, commit history, and branch management. DataGrip also has integration with Git, but it does not have as extensive built-in support as Azure Data Studio.
  5. Advanced Querying Capabilities: DataGrip is known for its powerful querying capabilities. It provides advanced features such as code completion, intelligent SQL code analysis, and query profiling. Azure Data Studio also has querying capabilities, but it is more focused on data visualization and exploration rather than advanced querying.
  6. Extension Ecosystem: Azure Data Studio has a growing ecosystem of extensions that allows users to customize and enhance their experience. Users can install extensions for additional functionality, such as language support, charting, and database-specific tools. DataGrip also has an extension ecosystem, but it is more focused on providing integrations with third-party tools and services rather than enhancing the core functionality of the IDE.

In summary, Azure Data Studio is a lightweight, cross-platform database tool with a focus on data visualization and exploration, while DataGrip is a feature-rich IDE with advanced querying capabilities and a wide range of supported databases.

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Advice on DataGrip, 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

DataGrip
DataGrip
AzureDataStudio
AzureDataStudio

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

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.

Intelligent query console; Efficient schema navigation; Explain plan; Smart code completion; On-the-fly analysis and quick-fixes; Version control integration; Query console; Local history; Diff viewer; Import CSV; Export as text; Export as queries; User parameters; Diagrams
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
576
Stacks
89
Followers
661
Followers
108
Votes
17
Votes
0
Pros & Cons
Pros
  • 4
    Works on Linux, Windows and MacOS
  • 3
    Code analysis
  • 2
    Diff viewer
  • 2
    Wide range of DBMS support
  • 1
    Code completion
No community feedback yet
Integrations
Cassandra
Cassandra
Amazon Redshift
Amazon Redshift
MariaDB
MariaDB
PostgreSQL
PostgreSQL
Oracle
Oracle
Git
Git
MySQL
MySQL
SVN (Subversion)
SVN (Subversion)
Microsoft SQL Server
Microsoft SQL Server
SQLite
SQLite
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 DataGrip, 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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