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• category: Database Management Systems

Microsoft SQL Server 2025

Microsoft SQL Server 2025 is the latest iteration of Microsoft's renowned relational database management system, designed to deliver enhanced performance, security, and scalability for modern data-driven applications. Building upon the robust foundation of its predecessors, SQL Server 2025 introduces innovative features that cater to the evolving needs of businesses and developers alike.

Key Features

• AI Integration: SQL Server 2025 enables direct invocation of AI services, such as ChatGPT, from T-SQL commands using sp_invoke_external_rest_endpoint, facilitating seamless integration of advanced AI capabilities into your database operations. :contentReference[oaicite:0]{index=0}
• Vector Data Support: Introducing a native vector data type and vector indexes with DiskANN, SQL Server 2025 enhances support for machine learning and AI workloads, enabling efficient similarity searches and advanced data analysis. :contentReference[oaicite:1]{index=1}
• Fabric Mirroring: This feature allows for near-real-time replication of your OLTP data sources to a data warehouse in Microsoft Fabric, ensuring data consistency and facilitating advanced analytics. :contentReference[oaicite:2]{index=2}
• Regular Expression Support: SQL Server 2025 introduces regular expression capabilities in T-SQL, enabling more sophisticated string pattern matching and data validation within your database queries. :contentReference[oaicite:3]{index=3}
• Enhanced Security: Building upon previous versions, SQL Server 2025 offers improved security features, including advanced threat protection and enhanced encryption methods, to safeguard your data against emerging threats.
• Scalability and Performance: Optimizations in query processing, indexing, and resource management ensure that SQL Server 2025 can handle large-scale workloads with increased efficiency, providing faster query responses and better resource utilization.
• Integration with Azure Services: Seamless integration with Azure services allows for hybrid cloud scenarios, enabling businesses to leverage cloud scalability and resilience while maintaining on-premises deployments.

Licensing Options

SQL Server 2025 offers flexible licensing models to accommodate various deployment scenarios:

• Core-Based Licensing: Ideal for high-performance and mission-critical applications, this model requires the purchase of core licenses for each physical or virtual core in the server. A minimum of four core licenses per server is required. :contentReference[oaicite:4]{index=4}
• Server + CAL Licensing: Suitable for environments with a limited number of users or devices, this model requires a server license plus Client Access Licenses (CALs) for each user or device accessing the server.

For virtualized environments and cloud deployments, SQL Server 2025 provides additional licensing benefits:

• License Individual Virtual Machines (VMs): When licensing per core, you can purchase core licenses only for the virtual cores assigned to the VM. :contentReference[oaicite:5]{index=5}
• High VM Density Licensing: By acquiring Enterprise Edition core licenses with Software Assurance for all physical cores on the server, you can deploy an unlimited number of VMs on the licensed hardware. :contentReference[oaicite:6]{index=6}
• License Mobility: With Software Assurance, you gain the flexibility to move licenses across private and public clouds, supporting dynamic and scalable deployment strategies. :contentReference[oaicite:7]{index=7}

System Requirements

To ensure optimal performance and compatibility, please refer to the official Microsoft documentation for detailed system requirements and hardware recommendations for SQL Server 2025.

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Additional Information

SQL Server 2025 represents a significant advancement in database technology, offering features that cater to the needs of modern enterprises. The integration of AI capabilities directly into the database engine allows for more intelligent data processing and analytics, enabling businesses to derive deeper insights from their data.