Building the Future of AI with Azure Databases

Picture this: A global logistics company needs to reroute thousands of shipments in real-time. A financial advisor app wants to generate hyper-personalized investment insights within seconds. A health tech platform must analyze patient vitals, detect anomalies, and alert caregivers instantly, all while keeping data secure and compliant.

None of this is possible without a solid foundation. Not just any data infrastructure, but one that’s built for AI—fast, resilient, and future-ready.

That’s where Azure Databases step in.

Modernizing Data for AI Readiness: SQL Server 2025 Is Here

Structured data is evolving and so is SQL. With SQL Server 2025, Microsoft delivers its most significant SQL release in over a decade, empowering enterprises to use their own data to build AI-native applications.

Already resonating with over 3,400 private preview applicants, SQL Server 2025 is built for cloud-scale agility and developer velocity:

• Unlock AI-powered semantic search on top of full-text queries

• Process unstructured data with native JSON support, REST APIs, and Change Event Streaming

• Achieve zero-ETL with real-time mirroring to Microsoft OneLake

• Improve performance and security with Entra ID integration and enhanced failover reliability

Smarter Development with AI-Integrated Tools

Developers can now write smarter, faster with AI in their favorite tools:

• SQL Server Management Studio 21, now built on Visual Studio 2022, includes Git integration and native Copilot preview support for T-SQL.

• A new MSSQL extension for VS Code brings GitHub Copilot right into your workflow, with schema exploration, query optimization, and natural language guidance built in.

 Azure SQL Database Hyperscale: Built for Mission-Critical AI Workloads

For high-throughput AI scenarios, Hyperscale just got even faster:

• Continuous priming drastically reduces failover time by pre-warming replicas

• 150 MiB/s log generation accelerates data ingestion for write-heavy workloads

“Azure SQL Database Hyperscale was the only tier that allowed us to do a massive data push without affecting user experience.” — Marco De Sanctis, CTO, Mondra Global Limited

JSON at the Core of Flexible AI Apps

With JSON becoming a first-class citizen:

• Native JSON types and aggregates are now GA in Azure SQL Database

• JSON indexing, in preview, makes querying unstructured data more efficient and powerful

Open Source, AI-Ready: Advancing PostgreSQL on Azure

Microsoft is doubling down on PostgreSQL, the world’s most beloved open-source database, with big enhancements:

• A new VS Code extension with GitHub Copilot brings context-aware chat, Entra ID support, and Docker integration

• DiskANN, one of the fastest vector indexing algorithms, is now GA outperforming traditional pgvector for generative AI apps

• Semantic operators, now in preview, offer deep reasoning across data—not just search

“Azure Database for PostgreSQL enables smaller teams to do more—especially when managing large numbers of databases.” — Mike Jasperson, VP, IoT Software Ops, PTC

AI-First SaaS: Cosmos DB Levels Up

For real-time, global-scale SaaS applications, Azure Cosmos DB continues to push boundaries:

• Per-partition automatic failover (preview) ensures 99.999% uptime, even during regional outages

• Global secondary indexes enable powerful query tuning and materialized views

• Cosmos DB Fleets offer smarter throughput pooling across tenants

• Entra ID authentication is now GA for Cosmos DB MongoDB (vCore)

Cosmos DB + Azure AI Foundry = Smarter Agents

Azure AI Foundry now integrates natively with Cosmos DB:

• Thread storage is GA allowing AI agents to resume conversations contextually

• Data retrieval from Cosmos DB in Foundry is coming soon

• Databricks + Foundry integration lets AI agents run BI jobs and access real-time enterprise data

NoSQL Meets Precision Search

Cosmos DB for NoSQL is now equipped with full-text and hybrid search:

• Phrase search, fuzzy matching, and multi-language support are now GA or in preview

• DiskANN vector search in MongoDB (vCore) enables high-accuracy GenAI apps using text embeddings, images, and more

Unifying Data for AI at Scale: Cosmos DB in Microsoft Fabric

Microsoft Fabric is reimagining how data teams work and now it supports Cosmos DB (NoSQL). With just a few clicks, developers can deploy high-performance distributed apps directly within Fabric, combining unstructured data, AI, and analytics into one seamless experience.

Azure’s mirroring capabilities have also expanded:

• Preview support now includes SQL Server 2016–2025, PostgreSQL, and SQL behind firewalls

• Easily replicate and analyze data from anywhere in Microsoft Fabric

The Future of AI is Built on Azure Databases

Breakthrough AI needs more than big models it needs trusted, scalable data infrastructure. Whether you're delivering multi-tenant SaaS apps, training real-time AI models, or building the next-gen agentic apps, Azure databases deliver the resilience, security, and intelligence to move fast without compromise.

Curious to dive deeper? Our blog breaks it all down

At Quadrant Technologies, we specialize in delivering data and AI solutions that drive measurable impact. To explore how our services can help your business harness the full power of Azure’s intelligent database technologies, get in touch with us at marcomms@quadranttechnologies.com.