What Integrates with SQL Prompt?
Find out what SQL Prompt integrations exist in 2025. Learn what software and services currently integrate with SQL Prompt, and sort them by reviews, cost, features, and more. Below is a list of products that SQL Prompt currently integrates with:
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SQL Server
Microsoft
Free 2 RatingsMicrosoft SQL Server 2019 incorporates both intelligence and security, providing users with added features at no additional cost while ensuring top-tier performance and adaptability for on-premises requirements. You can seamlessly transition to the cloud, taking full advantage of its efficiency and agility without the need to alter your existing code. By leveraging Azure, you can accelerate insight generation and predictive analytics. Development is flexible, allowing you to utilize your preferred technologies, including open-source options, supported by Microsoft's advancements. The platform enables easy data integration into your applications and offers a comprehensive suite of cognitive services that facilitate the creation of human-like intelligence, regardless of data volume. The integration of AI is intrinsic to the data platform, allowing for quicker insight extraction from both on-premises and cloud-stored data. By combining your unique enterprise data with global data, you can foster an organization that is driven by intelligence. The dynamic data platform provides a consistent user experience across various environments, expediting the time it takes to bring innovations to market; this allows you to develop your applications and deploy them in any environment you choose, enhancing overall operational efficiency. -
2
Visual Studio by Microsoft is a complete ecosystem for professional developers, combining robust coding environments, integrated AI capabilities, and advanced collaboration tools. The flagship Visual Studio 2022 IDE delivers an all-in-one workspace with compilers, debuggers, designers, and performance profilers for .NET, C++, C#, and Azure development. Meanwhile, Visual Studio Code (VS Code) offers a lightweight yet powerful editor that runs on Windows, macOS, and Linux, ideal for web, JavaScript, Python, and container-based workflows. With GitHub Copilot integration, developers receive intelligent code completions, automated refactoring, and natural language explanations of complex logic. Agent Mode introduces an AI-driven assistant that can edit across files, execute builds, and resolve compile or test errors autonomously. Built-in tools like unit test generators, CI-aware policy enforcement, and style validation help ensure clean, testable, and secure code. Thousands of extensions from the Visual Studio Marketplace expand functionality for database, cloud, and DevOps workflows. Together, these platforms redefine productivity, helping teams code smarter and deliver innovation faster.
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3
Azure Data Studio
Microsoft
1 RatingAzure Data Studio is a versatile database management tool designed for data professionals utilizing both on-premises and cloud-based data platforms across Windows, macOS, and Linux environments. This tool features an advanced editor equipped with IntelliSense, code snippets, seamless source control integration, and a terminal that is built into the interface. Tailored for users of data platforms, it includes functionalities such as built-in charting for visualizing query results and customizable dashboards to enhance user experience. Whether you are querying, designing, or managing databases and data warehouses, Azure Data Studio allows you to do so from your local machine or the cloud with ease. For a hassle-free experience, we suggest opting for the user installer, as it streamlines the installation and update processes without needing Administrator privileges, making it accessible to a broader range of users. Additionally, its cross-platform capabilities ensure that users can effectively work on their projects regardless of the operating system they prefer. -
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Redgate SQL Toolbelt
Redgate
$3665The SQL Toolbelt by Redgate is the go-to suite of tools for developing and deploying SQL Server applications. This comprehensive package includes 13 essential products that enhance SQL Server development, backup processes, and monitoring capabilities. By utilizing these tools, you can significantly boost productivity, foster team agility, and ensure your data remains secure. Each day, countless SQL Server professionals depend on the SQL Toolbelt due to its dependable performance, user-friendly interface, and seamless integration with existing application development tools. With SQL Compare Pro, you can investigate the modifications made by your teammates, while SQL Source Control helps in sharing these changes across your team. Additionally, the SQL Toolbelt provides a complete record of alterations, detailing who made each change, when, and for what reason. Moreover, you can assess how your deployments affect the performance of your SQL Server through various deployment tools included in the SQL Toolbelt. Changes made during releases with SQL Compare or SQL Change Automation will be highlighted in SQL Monitor alongside critical performance indicators, ensuring that you stay informed about your database's health. Ultimately, these tools empower teams to maintain a high level of efficiency while managing their SQL Server environments effectively. -
5
SQL Server Management Studio (SSMS)
Microsoft
SQL Server Management Studio (SSMS) serves as a comprehensive platform for overseeing a range of SQL infrastructures, including both SQL Server and Azure SQL Database. It offers a variety of tools aimed at configuring, monitoring, and administrating SQL Server instances along with their associated databases. With SSMS, users can deploy, oversee, and enhance the data-tier components integral to their applications, as well as create queries and scripts. Additionally, SSMS facilitates the querying, designing, and management of databases and data warehouses, whether they reside on local machines or in the cloud. This makes SSMS an essential tool for database administrators and developers alike, ensuring efficient handling of data management tasks.
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