Oracle AI Database@Azure

Run Oracle's AI-native database engine — vector search, generative AI, autonomous operations — directly inside Azure, with zero data movement and zero compromise. 

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What Is Oracle AI Database@Azure?

Oracle AI Database@Azure is the evolution of Oracle Database@Azure, the same Oracle-managed infrastructure running on genuine OCI hardware inside Azure data centres, now purpose-built around one core idea: AI works best when it sits right next to your data, not bolted on beside it.

Instead of exporting data to a separate AI platform, running embeddings elsewhere and stitching results back together, Oracle AI Database@Azure brings AI capabilities directly into the database engine. That includes native AI Vector Search for semantic and similarity queries, Select AI for querying data using natural language and built-in support for retrieval-augmented generation (RAG) — all running on Oracle AI Database 26ai.

The Azure-specific advantage is direct integration with Azure OpenAI, Copilot Studio and Azure AI Foundry, so you can generate embeddings, build copilots or power agentic workflows, without your enterprise data ever leaving Oracle's security boundary. The service supports the same core services as before: Exadata Database Service (Dedicated and Exascale), Autonomous AI Database & Lakehouse, Base Database Service and GoldenGate.

Oracle AI Database@Azure combines Oracle's AI-powered database with Microsoft Azure to help organisations build intelligent applications, modernise workloads and manage enterprise data more efficiently. At DSP, our Oracle and Microsoft experts help you plan, deploy and optimise, ensuring you maximise the value of your cloud and AI investment. 

Get in touch with an Oracle AI Database@Azure specialist...

Oracle AI Database@Azure
Core Features

Exadata Database Service

Dedicated & Exascale infrastructure options

Zero Downtime Migration

Automated, near-zero-downtime migration tooling

GoldenGate

Real-time data replication across over 50 sources

Autonomous AI Database

Self-driving, self-securing database

Fabric/OneLake Mirroring

Zero-ETL sync into Microsoft's analytics stack

DSP's Oracle AI Database@Azure Services

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Why It Matters: The AI-Native Advantage

No data movement. No compromise.

Gen AI projects usually mean exporting sensitive data to a separate store or platform. With AI Vector Search built directly into the database, your vectors, structured data and unstructured data all live and get queried in one place. 

Natural language, not just SQL

Select AI lets business users and developers query enterprise data using plain English, which is translated into SQL under the hood — lowering the barrier between your mission-critical data and the people who need answers from it. 

Bring your own model

Use Azure OpenAI, Google Gemini or OCI Generative AI models interchangeably, depending on what the workload needs, without re-architecting your data layer each time. 

Enterprise-grade security for AI workloads

Your data never leaves Oracle's security perimeter to reach an LLM. Access control, encryption, and governance travel with the data, not around it. 

Why choose DSP as your Oracle AI Database@Azure partner?

Certified Oracle & Azure expertise, under one roof

Most migration partners specialise in one cloud or the other. Our team holds a range of Oracle and Microsoft Azure certifications, so you're not stuck coordinating between two vendors who each only own half the problem.

We've done this before

We have ample experience migrating Oracle workloads to Azure. We know where the real risks sit — licensing traps, network latency misconfigurations, DR planning — because we've already hit them, so you don't have to.

Zero-downtime migration, done properly

We build and manage your migration using Oracle's Zero Downtime Migration (ZDM) tooling and Maximum Availability Architecture (MAA) reference designs, so your production systems stay live while the move happens in the background.

Cost optimisation, not just cost estimation

Oracle Database@Azure pricing involves multiple moving parts — Exadata infrastructure, licensing, Azure consumption, DR regions. We help you right-size your deployment from day and continue optimising post-migration.

Oracle AI Database@Azure: The Benefits

Accelerate AI Innovation

Oracle AI Database@Azure brings AI directly into the database with built-in machine learning and vector search capabilities. Organisations can develop, deploy, and scale AI applications without moving data to separate platforms, thereby reducing complexity and accelerating innovation. 

Businesses can build intelligent applications faster, improve decision-making, and unlock greater value from their existing data without extensive redevelopment.

Keep Data Where It Matters

 By processing AI workloads within the database, businesses can minimise data movement, improving security, reducing latency and ensuring sensitive information remains protected.

This approach also improves performance by bringing AI closer to your data, enabling faster insights and more efficient decision-making without the need for complex data pipelines. 

Simplify Cloud Operations

Run Oracle Database services natively within Microsoft Azure while using familiar Azure tools, identity services and management processes. This simplifies administration and enables teams to work within a single cloud ecosystem. 

Organisations can reduce operational complexity, improve efficiency and accelerate the deployment of new applications and services while making the most of their existing Azure investments.

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"We live and breathe this every day but it was really impressive how quickly DSP got on board with our systems and processes in order to start delivering results from the outset."


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"Our relationship now is so much more than just client-and-supplier; it is a genuine partnership. It’s more valuable to us as it means we grow and develop as an organisation while working with DSP."


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