Key Takeaways Oracle AI Database 26ai replaces Database 23ai as a long-term support release with AI architected into the core, requiring no database upgrade or application re-certification. The platfo...
Oracle Corporation unveiled Oracle AI Database 26ai at its AI World conference on October 14, 2025, marking a significant shift in how enterprises can deploy artificial intelligence directly within their data infrastructure.
The announcement represents Oracle's strategy to integrate AI capabilities natively into its flagship database rather than requiring separate tools or data movement.
The new release replaces Oracle Database 23ai and fundamentally reimagines the database as an AI-native platform. According to Juan Loaiza, Executive Vice President of Oracle Database Technologies, the integration aims to simplify AI adoption for enterprises.
"By architecting AI and data together, Oracle AI Database makes 'AI for Data' simple to learn and simple to use," Loaiza stated in the company's announcement.
"We enable our customers to easily deliver trusted AI insights, innovations, and productivity for all their data, everywhere, including both operational systems and analytic data lakes."
The platform enables customers to run dynamic agentic AI workflows that can combine proprietary database information with external public data sources.
This capability allows for sophisticated multi-step reasoning and automated decision-making processes that previously required moving data between systems.
Oracle designed the transition to minimize disruption for existing customers. Organizations using Database 23ai can upgrade simply by applying the October 2025 release update, with no database upgrade or application re-certification required.
Advanced AI features such as AI Vector Search are included at no additional charge.
The company also introduced the Oracle Autonomous AI Lakehouse, which supports the Apache Iceberg open table format and is now available across all four major hyperscale cloud providers: Oracle Cloud Infrastructure, Amazon Web Services, Microsoft Azure, and Google Cloud.
The platform is also interoperable with Databricks and Snowflake on these clouds.
Security features include NIST-approved quantum-resistant algorithms using ML-KEM to encrypt data-in-flight.
Combined with existing quantum-resistant encryption for data-at-rest, Oracle claims to offer protection against future threats from quantum computing, where hackers might harvest encrypted data today to decrypt it with quantum computers later.
The database incorporates support for industry standards, including the Model Context Protocol for agentic AI, various large language models, and Open Neural Network Exchange embedding models.
Integration with NVIDIA NeMo Retriever microservices enables vector embedding models and retrieval-augmented generation pipelines.
Industry analysts noted the significance of embedding AI directly into the database layer. Holger Mueller, Vice President and Principal Analyst at Constellation Research, emphasized the advantage of keeping data in place.
"Great AI needs great data. With Oracle AI Database 26ai, customers get both," Mueller said in Oracle's announcement.
"It's the single place where their business data lives—current, consistent, and secure. And it's the best place to use AI on that data without moving it."
Tony Baer, Chief Analyst at dbInsight, told InfoWorld that the release marks a strategic shift toward agentic capabilities. "It's about making AI Agents first-class citizens inside the database," Baer noted.
For developers, the platform introduces Select AI Agent, a framework for building, deploying, and managing AI agents within the database.
The system includes pre-built tools and supports external tools via REST and Model Context Protocol servers.
Oracle also added the AI Private Agent Factory, a no-code platform that allows non-technical users to deploy private, containerized agents in controlled environments.
This dual approach targets both professional developers requiring detailed control and business users seeking simpler deployment options.
Additional planned features include unified data models supporting relational, JSON, and graph data; data annotations to improve AI model outputs; True Cache for automatic transactional data caching; and a SQL firewall to block unauthorized database activity.
The release continues Oracle's broader infrastructure investments, including partnerships with NVIDIA for AI acceleration and AMD for deploying 50,000 Instinct MI450 chips to provide customers alternatives to NVIDIA hardware.
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