Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

With the SQL Editor in DBeaver, you can write and execute multiple SQL scripts within a single database connection, save them as files, and reuse them later. Note: SQL Editor for a connection is ...

This guide provides instructions on how to set up and use SQL Server with DBeaver. Before you start, you must create a connection in DBeaver and select SQL Server. If you have not done this, please ...

This GitHub repository contains code samples that demonstrate how to use Microsoft's Azure Data products including SQL Server, Azure SQL Database, Azure Synapse, and Azure SQL Edge. Each sample ...

Welcome to the MSSQL-Django 3rd party backend project! mssql-django is a fork of django-mssql-backend. This project provides an enterprise database connectivity option for the Django Web Framework, ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...