![]() Provides a dashboard that reports Data Warehouse insights, which can be helpful in scenarios involving managing and tuning data warehouses to ensure they are optimized for consistent performanceĭisplays insights from sp_whoisactive, a useful tool for activity monitoring and troubleshooting, as graphs and tasks inside an Azure Data Studio dashboard Linux Users can now migrate from a source Linux based SQL Server SMB file share that is mounted as a disk within the Linux OS. Users can now retry a failed / cancelled / succeeded migration where all previously entered details will be pre-populated. In this preview release, SQL projects can be created and published from Azure Data Studio.Įnables users to save and close at any step in the migration wizard and resume at a later point. The SQL Database Projects extension brings project-based database development to Azure Data Studio. Provides a mechanism to evaluate the configuration of SQL Server for best practices. Provides useful information about the server's performance, such as: DB Space Usage, DB Buffer Usage, CPU Utilization, Backup Growth Trend, and Wait counts Provides interactive visualizations that help users explore, understand, and present their data ![]() Provides a simple SQL Server tracing solution similar to SSMS Profiler, allowing users to create and manage traces and analyze and replay trace resultsĪdds a Query History panel for viewing and running past executed queries. Provides rich PowerShell language support for Azure Data Studio Reports information about the performance and health of the Azure SQL Database Managed InstanceĮnables users to connect, query, and manage Postgres databases with Azure Data Studio Manage Python and R packages with SQL Server machine learning services with Azure Data Studio.Use ONNX model to make predictions in Azure SQL Edge, view ONNX models in an Azure SQL Edge database, Import ONNX models from a file or Azure Machine Learning into Azure SQL Edge database. IntelliCode delivers context-aware code completions and guides developers to adhere to the patterns and styles of their team.Įnables users to connect to Azure Data Explorer clusters and databases and write KQL queries and notebooks in Azure Data Studio.Įnables users to connect Language packs enable users to use the majority of ADS and supported first party extensions in their preferred language. IntelliCode enhances software development using artificial intelligence. Streamlines the data import process by providing a wizard that simplifies copying flat files (.csv. Support for Data Virtualization in SQL Server, including Create External Data wizards. dacpac files and databases and apply the changes from source to target. Provides an easy to use experience to compare. Provides an easy-to-use wizarding experience to deploy and extract. Users gain access to experimental and pre-release commands along with the ability to write your own CLI interfaces.Įnables users to connect to Azure Monitor Logs, browse Log Analytics workspaces and write KQL queries and notebooks in Azure Data Studio.Īllows users to organize and store lists of instances as one or more groups, where actions taken using a CMS group act on all servers in the server group (early preview) Users gets a notebook-based experience to deploy Azure SQL Edge. ![]() ![]() Users can deploy data controllers, Postgres, Managed Instance for Arc, connect to data controllers, access data service dashboards and work with Azure Arc Jupyter Books. Helps manage and troubleshoot SQL Server Agent jobs and configuration (early preview) List of Extensions First Party Extensions NameĪ collection of popular database administration extensions to help manage SQL Serverĭatabase Administration Tool Extensions for WindowsĪdds Windows-specific functionality to Azure Data Studio, including launching a set of SQL Server Management Studio (SSMS) experiences directly from Azure Data Studio If you are having problems accessing the Extensions Manager on Azure Data Studio, you can download the extension you need below. ![]()
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