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AI Database Features

Learn more about all of Oracle's database technologies

Key features

Foundational AI technologies

Unified hybrid vector search

Combines AI Vector Search with relational, text, JSON, knowledge graph, and spatial searches—allowing retrieval of related documents, images, videos, audio, and structured data. Customers can easily combine AI Vector Search with LLMs to search for private data that an LLM can combine with public data to answer business questions.

Explore Oracle AI Vector Search

Model Context Protocol (MCP) Server support

Enables AI agents powered by LLMs to access an organization’s database to answer questions using iterative reasoning. AI agents can explore multiple solution paths and request additional data during their analysis to produce better and more accurate results.

Introducing MCP Server for Oracle Database

Built-in data privacy protection

Enforces sophisticated security, privacy, and compliance rules in the database. Measures include end user–specific row, column, and cell-level data visibility as well as dynamic masking of unauthorized data. In addition, it helps AI to access the database directly using SQL or other APIs without exposing private data.

Database Security solutions

Oracle Exadata for AI

Accelerates AI at scale by delivering hardware and software engineered together for maximum performance and availability. Exadata can significantly accelerate AI vector queries by offloading them to Exadata intelligent storage. Vector offload also works with the new Exadata Exascale software architecture, which brings extreme elasticity and lower cost—extending Exadata benefits to smaller workloads and organizations.

Learn more about Oracle Exadata

Private AI Services Container

Provides a prebuilt and tested environment for running private instances of AI models such as embedding models, open-weight LLMs, and Named Entity Recognizers. Use of this container helps enhance AI workload security since customers can avoid sharing data with third-party AI providers. The container can be deployed anywhere the customer chooses, within the customer’s tenancy in the public cloud, on private clouds, or on-premises.

AI Database acceleration with NVIDIA

Oracle AI Database APIs that enable integration with LLM providers also support integration with NVIDIA NIM containers. Using this feature, Oracle AI Database can run vector embedding models or implement RAG pipelines using NVIDIA NIM containers. In addition, Oracle Private AI Services Container, which currently supports execution on CPU resources, has been designed to support the future use of NVIDIA GPUs for vector embedding and index generation using NVIDIA CAGRA (CUDA Anns GRAph-based) and cuVS (CUDA Vector Search).

AI for application development

Comprehensive, scalable app development

Developers can quickly create scalable, high performance AI-powered applications using SQL, JSON, XML, and a range of procedural languages. Oracle AI Database 26ai offers a range of built-in development tools, such as APEX, and converged database capabilities along with the following capabilities.

Explore application development technologies

Data annotations

Help explain the purpose, characteristics, and semantics of data to AI. This additional information helps AI generate better applications and provide more accurate responses to natural language questions.

Unified data model

The relational, JSON, and graph data models have been unified, providing massive simplification. This accelerates developer productivity by enabling applications to access the same data in relational format via SQL, as a JSON document, or as a graph.

Select AI Agent

Build, deploy, and manage AI agents within Oracle Autonomous AI Database with a simple, secure, and scalable in-database framework. It supports custom and prebuilt in-database tools, external tools via REST, and MCP Servers, enabling the automation of multistep agentic workflows, accelerating innovation and helping organizations keep their data safe.

AI Private Agent Factory

Provides a no-code AI agent builder and deployment framework. These agents benefit from the full power, performance, scalability, and security of the converged data architecture of Oracle AI Database. Runs as a container in any environment of the customer’s choosing to maximize data security—without customers having to share data with agentic frameworks on third-party clouds.

Enterprise-wide analytics and data lakehouse

Build a data lakehouse and warehouse, on-premises or in the cloud

Advanced data lake and warehouse technologies, such as Oracle Database In-Memory and Oracle Multitenant, enable analytics teams to complete more in-depth analyses at scale in less time. Customers develop deeper, data-driven insights using Oracle AI Database technologies on-premises, in Oracle Cloud Infrastructure, or on leading cloud hyperscalers.

Unlock a multicloud, open data lakehouse

Autonomous AI Lakehouse supports the Apache Iceberg open table format, enabling true, enterprise-wide AI and analytics. Availability on all four major hyperscalers—Oracle Cloud Infrastructure, Amazon Web Services, Microsoft Azure, and Google Cloud—along with interoperability with Databricks and Snowflake on the same clouds, enables customers to leverage their existing investments and gain the net incremental benefits of Autonomous AI Lakehouse with the latest AI technologies for their business needs. Oracle Autonomous AI Lakehouse delivers this securely with Exadata-powered performance and pay-per-use, serverless scaling.

Explore multicloud AI lakehouse

Explore AI Data Platform

Use simple SQL to query property graphs

Build graph analytics and applications with SQL using existing SQL development tools and frameworks. Oracle AI Database 26ai is the first commercial database to implement the new SQL:2023 standard, making it simple for anyone with SQL knowledge to define and query property graph models.

Explore the operational property graphs (PDF)

Mission-critical innovations

Oracle Database Zero Data Loss Cloud Protect

Protects on-premises Oracle Databases from data loss and ransomware using Oracle Zero Data Loss Recovery Service running in OCI, AWS, Azure, or Google Cloud. Includes real-time protection of database changes and enables fast recovery to any point-in-time.

Globally Distributed Database

Supports ultra-scalability and data sovereignty by enabling a single logical database to be split into multiple parts and stored on different servers. Built-in RAFT-based replication enables multi-master, active-active distributed databases to fail over with zero data loss in less than three seconds.

Explore Oracle Globally Distributed Database

True Cache

Provides unique application-transparent middle-tier cache that automatically ensures transactional consistency. Developers don’t need to write code to populate and manage the data in the cache. True Cache brings the rich functionality of Oracle AI Database to mid-tier caches. All Oracle SQL, Vector, JSON, Spatial, and Graph query capabilities are also available via True Cache.

Explore Oracle True Cache

SQL Firewall

Delivers in-database scalable protection against unauthorized SQL activity and injection attacks, enhancing security for all data in the database.

Explore SQL Firewall

Data sovereignty and data residency

Addressing data sovereignty and residency challenges

Store data in the cloud across multiple physical databases in multiple locations instead of one database while exposing a single database image to applications. Oracle Globally Distributed Database is used to achieve hyperscale and to help fulfill data residency and data sovereignty requirements. RAFT replication between the physical databases enables automatic failover with zero data loss in single-digit seconds, simplifying the creation and administration of fault-tolerant distributed databases and eliminating the need for manual processes to maintain active-active availability.

Explore Oracle Globally Distributed Database

Database manageability

Integrated, enterprise-wide Oracle AI Database management

Increase enterprise-wide database performance and availability with consistent management processes via a single-pane-of-glass management dashboard. DBAs reduce their workloads by consolidating the monitoring and management of databases running on premises, in Oracle Cloud Infrastructure, and in third-party clouds with Oracle database management solutions.

Explore Oracle Enterprise Manager


Database security

Protect crucial data

Oracle’s database security solutions reduce the risk of data breaches and make it easier for customers to meet compliance requirements. Encryption, data masking, privileged user access controls, activity monitoring, and auditing enable IT teams to strongly secure Oracle AI Database environments and understand potential vulnerabilities.

Explore database security technologies


Features include:

Database cloud services

Agile, flexible, and secure database management

Oracle Cloud Infrastructure’s suite of optimized database capabilities enable customers to operate efficiently and at low cost, by closely aligning resources to their specific needs.

Companies implement digital transformations with Oracle’s full portfolio of database cloud services, including the fully managed Autonomous AI Database and the automated Exadata Database Service, with Exadata Cloud@Customer in distributed data centers and in Microsoft Azure, Amazon AWS, and Google Cloud using deeply integrated Oracle AI Database services in OCI that are collocated in those data centers.

Oracle Database Zero Data Loss Cloud Protect guards on-premises Oracle Databases with Oracle Zero Data Loss Recovery Service running in OCI, AWS, Azure, and Google Cloud multicloud environments. This feature includes real-time protection of database changes and enables fast recovery to any point-in-time and in any location.

Explore Oracle AI Database Cloud technologies

Explore Oracle Autonomous AI Database


Features include:

High availability

Comprehensive, high availability capabilities

Oracle AI Database includes built-in capabilities and options, including Oracle Active Data Guard and Oracle Real Application Clusters, that enable efficient, scaling and consolidation of customer databases. IT teams use the same capabilities on-premises and in Oracle Cloud Infrastructure to protect crucial customer databases and maximize their availability.

Explore high-availability technologies

Explore Oracle Maximum Availability Architecture


Features include:

Performance and scalability

Optimized database performance throughout the enterprise

Meet stringent performance requirements in real-time environments and data center deployments, with a range of capabilities designed for optimized low-latency and high-throughput.