As the proliferation of artificial intelligence technologies accelerates, our clients are grappling with novel complexities in safeguarding their intellectual property and objectives. As organizations increasingly adopt AI technologies, they are poised to deploy these workloads across a hybrid landscape of cloud, edge, and dedicated infrastructure, where privacy and security concerns assume paramount importance.
With its robust architecture spanning floors to clouds, this cutting-edge enterprise AI-ready database effectively addresses the complexities of data management and intelligence, empowering clients’ knowledge with seamless integration of AI capabilities. The latest release further solidifies SQL Server’s commitment to innovation, building on its three-year legacy of advancements in performance and security, now featuring cutting-edge AI capabilities. With seamless integration of Microsoft Cloths, clients can effortlessly channel their expertise into the cutting-edge realm of information analytics. The Azure-based discharge empowers seamless operations across cloud, on-premises data centers, and edge environments, providing customers with streamlined database management.
Over time, SQL Server has evolved far beyond its origins as a traditional relational database. With the latest release of SQL Server, we’re empowering clients to build AI capabilities seamlessly integrated with the database engine. Microsoft SQL Server 2025 is undergoing a significant transformation, shifting towards a native vector database, leveraging built-in filtering capabilities and vector search technology to deliver impressive performance, making it readily accessible for developers using T-SQL.
AI built-in
The innovative model integrates AI capabilities, streamlining the enhancement and retrieval of augmented technology (RAG) patterns by providing secure, high-performance, and intuitive vector assistance, seamlessly integrating familiar T-SQL syntax for effortless utilization. By integrating vectors into the system, you’ll have the ability to seamlessly combine SQL expertise with advanced AI-powered vector search capabilities.
What are the primary objectives of integrating AI capabilities into our organizational database infrastructure?
SQL Server 2025 is a cutting-edge, enterprise-grade vector database that seamlessly integrates artificial intelligence capabilities, ensuring robust data security and regulatory compliance for sophisticated knowledge management. This innovative solution integrates a native vector retailer and index, fueled by DiskANN’s vector search technology that leverages disk storage to efficiently uncover similar data points within massive datasets. These databases facilitate efficient information retrieval by leveraging semantic search capabilities to accurately extract relevant knowledge. Within the latest SQL Server framework, a cutting-edge AI model management capability is integrated into the engine through RESTful interfaces, empowering users to seamlessly deploy and utilize AI models across diverse environments – from edge to cloud.
Whether clients are actively engaged in knowledge preprocessing, model training, or RAG pattern development, extensible, low-code tools provide adaptable model interfaces within the SQL engine, backed by T-SQL and external REST APIs. These tools enhance developers’ capacity to build diverse AI applications through streamlined integration with cutting-edge AI frameworks, such as LangChain, Semantic Kernel, and Entity Framework Core.
Enhance developer productiveness
As data-driven applications similar to those in AI development require scalable architecture, developers must prioritize extensibility, framework selection, and knowledge augmentation to maximize their productivity. Our guarantee ensures that SQL provides top-tier expertise for developers by seamlessly integrating features akin to RESTful APIs, GraphQL connectivity via Data API Builder, and robust expression capabilities. Native JSON support enables builders to effectively manage frequently changing schema and complex data hierarchies, thereby simplifying the development of more dynamic applications. We are further refining our SQL enhancement efforts to ensure maximum extensibility, performance, and user-friendliness in their implementation. With robust safety features built into the SQL Server engine, this platform is poised to deliver seamless AI capabilities in an enterprise setting.
Finest-in-class safety and efficiency
SQL Server 2022 is a business leader in database security and performance. Managed identities significantly enhance credential management, minimising the risk of vulnerabilities while providing comprehensive compliance and auditing capabilities. SQL Server 2025 introduces support for outbound authentication using MSI (Managed Service Identity) for SQL Server instances.
We’re also introducing efficiency and availability improvements, thoroughly tested in production environments with Microsoft Azure SQL, to enhance the capabilities of SQL Server. Within the innovative framework, users will be empowered to optimize workload productivity and streamline issue resolution through advanced query refinement and expedited execution.
The Non-Compulsory Parameter Plan Optimization (OPPO) feature enables SQL Server to autonomously select the optimal execution plan, leveraging customer-supplied runtime parameter values and significantly reducing the impact of unhealthy parameter sniffing on complex workloads. Statistics on secondary replicas are continuously updated, ensuring that data remains accurate and complete even in the event of a restart or failover, thus preventing potential efficiency losses. Concerning query execution, SQL Server’s enhancements in batch mode processing and columnstore indexing enable it to be a mission-critical database for demanding analytical workloads.
By leveraging Transaction ID (TID) Locking and Lock After Qualification (LAQ), optimized locking significantly diminishes lock remembrance consumption, thereby minimizing the impact on concurrent transactions. This capability enables clients to prolong downtime and enhance simultaneous user capacity as well as scalability specifically for SQL Server operations.
Occasion streaming in SQL Server enables seamless integration of disparate systems in real-time, facilitates efficient duty segregation, and empowers organizations to make data-driven decisions through real-time analytics. The addition of advanced database engine capabilities enables the seamless publication of incremental changes to knowledge and schema to a designated destination, such as Azure Event Hubs or Kafka, in near real-time.
What’s the connection between Microsoft Cloth and Azure Arc?
When creating a knowledge warehouse or lake, effectively integrating diverse knowledge sources involves the design, execution, and management of sophisticated ETL processes, enabling seamless transitions between operational data stored in SQL Server and other systems. Traditional approaches fail to facilitate seamless knowledge transfer in real-time, resulting in a delay that hinders the generation of timely analytics. Companies providing comprehensive, integrated, and AI-powered knowledge analytics solutions that cater to the evolving demands of complex data requirements. Microsoft’s Mirrored SQL Server Database in Cloud is a fully managed and highly available service that simplifies near-real-time replication of SQL Server data to Microsoft Azure Cosmos DB (formerly known as Azure DocumentDB). By leveraging mirroring, customers can seamlessly synchronize knowledge from SQL Server databases running on Azure virtual machines or outside of Azure, enabling real-time replication of online transaction processing (OLTP) and operational retail workloads into OneLake’s unified platform for analytics and insights generation.
Azure remains an integral component of SQL Server’s ecosystem. Azure Arc enables SQL Server 2022 to extend cloud capabilities, empowering customers to manage, secure, and govern their SQL estate at scale across on-premises and cloud environments. The comprehensive suite of capabilities, including automated patching, automated backups, real-time monitoring, and best practices evaluation, empowers clients with the means to efficiently outsource routine tasks and fortify their business resilience. In addition to streamlining SQL Server management with Azure Arc, Microsoft also offers a pay-per-use option for simplified licensing, granting customers greater flexibility and transparency in their database usage.
JOIN THE PREVIEW AT THE MOMENT WHEN THE COMPANY WILL LAUNCH ITS NEWEST PRODUCT – A REVOLUTIONARY SMART HOME SYSTEM THAT PROMISES TO CHANGE THE WAY WE LIVE AND WORK.
We are currently onboarding customers and partners for the SQL Server 2025 preview, in preparation for its general availability later this year.
To leverage the advanced features in the SQL Server 2025 Group Expertise Preview (CTP).1 Stay current with the latest advancements in SQL Server 2025 and its capabilities.
Microsoft has just released the first preview of SQL Server Management Studio (SSMS) 21, simplifying the experience for database administrators and developers alike. The upcoming launch seamlessly incorporates Microsoft Copilot features into SQL Server Management Studio (SSMS). The Copilot’s SQL expertise streamlines improvements with real-time recommendations, intelligent code completions, and best-practice-following suggestions. Are you ready to dive in and explore the latest feature? Then, click to get started!
1Not all features announced for this blog will be available in the initial Community Technology Preview (CTP) release.
Asad Khan serves as the Vice President of SQL Merchandise and Partnerships. As the leader of engineering and product administration for both SQL Server and Azure SQL, he oversees the development and delivery of these critical technologies.
