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AzureDataStudio

88
106
+ 1
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DataGrip

561
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+ 1
17
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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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Pros of AzureDataStudio
Pros of DataGrip
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    • 4
      Works on Linux, Windows and MacOS
    • 3
      Code analysis
    • 2
      Diff viewer
    • 2
      Wide range of DBMS support
    • 1
      Generate ERD
    • 1
      Quick-fixes using keyboard shortcuts
    • 1
      Database introspection on 21 different dbms
    • 1
      Export data using a variety of formats using open api
    • 1
      Import data
    • 1
      Code completion

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    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.

    What is DataGrip?

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

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    What tools integrate with AzureDataStudio?
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    What are some alternatives to AzureDataStudio and DataGrip?
    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
    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.
    Dataform
    Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
    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.
    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.
    See all alternatives