Oracle AI Database 26ai
AI-Native, Secure, Highly Available and Developer-Friendly Database
Executive Summary
Oracle AI Database 26ai is Oracle’s long-term support, AI-native database release. It integrates AI, application development, security, high availability, analytics, and distributed data management into a single converged platform.
Key Value Proposition
- Build enterprise AI applications directly on business data
- Develop modern applications using SQL, JSON, Graph, Vector and JavaScript
- Protect data consistently across users, applications and AI agents
- Deliver mission-critical availability and global scalability
- Reduce data movement and platform complexity
1. AI and Generative AI
Major Capabilities
AI Vector Search
Performs semantic searches based on meaning rather than exact keywords.Unified Hybrid Vector Search
Combines vector, relational, text, JSON, graph and spatial searches in a single query.Enterprise RAG
Uses private business data to improve the accuracy and relevance of LLM-generated answers.Select AI
Enables users to query enterprise data using natural language.Select AI Agent
Supports governed AI agents that can retrieve information, execute database tools and perform business actions.Model Context Protocol integration
Allows AI assistants and agent frameworks to securely discover and use database tools.Private Agent Factory
Provides low-code and no-code capabilities for building private enterprise AI agents.In-Database Machine Learning
Allows organizations to train and score ML models without moving sensitive data outside the database.
Business Value
Bring AI to the data instead of moving enterprise data to separate AI platforms.
2. Modern Application Development
Major Capabilities
JSON-Relational Duality Views
Applications can access the same data as JSON documents or relational tables without creating duplicate copies.JavaScript Stored Procedures
Developers can implement server-side application logic using JavaScript.Operational Property Graphs
Graph analysis can be performed directly on operational relational data using SQL.Lock-Free Reservations
Improves concurrency for highly contested data such as account balances, inventory and seat reservations.Priority Transactions
Protects critical business transactions by automatically resolving lower-priority blocking transactions.Data Use Case Domains
Centralizes reusable business definitions such as email, currency, URL and product identifiers.Data Annotations
Adds business meaning to database objects, helping AI systems better understand enterprise data.Assertions
Enforces complex business rules across multiple tables using declarative database constraints.Enhanced SQL
Includes Boolean data types, simplified queries, direct joins for updates and deletes, and tables with up to 4,096 columns.
Business Value
Accelerates application development while reducing middleware, ORM complexity and duplicate data stores.
3. Microservices and Event-Driven Applications
Major Capabilities
- Transactional Event Queues
- Kafka-compatible APIs
- Database-supported Saga transactions
- REST and JSON APIs
- MongoDB-compatible access
- Redis-compatible caching
- Transaction-aware messaging
- Lock-free concurrency controls
Business Value
Enables reliable microservices and event-driven applications while maintaining transactional consistency.
4. High Availability and Scalability
Major Capabilities
Oracle Real Application Clusters
Provides active-active instance availability and horizontal database scaling.Oracle Data Guard
Delivers disaster recovery and standby database protection.Active Data Guard
Offloads read-only workloads, reporting and backups to standby databases.Application Continuity
Replays eligible application requests following recoverable failures.Transaction Guard
Determines the reliable outcome of transactions after interruptions.True Cache
Provides an automatically managed, consistent in-memory cache for read-intensive applications.Online Maintenance
Supports rolling patching, application upgrades and selected schema changes with minimal disruption.
Business Value
Maintains application availability during failures, maintenance and infrastructure changes.
5. Globally Distributed Database
Major Capabilities
Database Sharding
Distributes data across multiple databases for horizontal scalability and fault isolation.Directory-Based Sharding
Provides flexible control over where tenant or customer data is stored.Raft Replication
Delivers built-in consensus-based replication and rapid failover for sharded environments.Automatic Data Movement
Automatically relocates data when a sharding key changes.Geographic Data Distribution
Helps address data residency, latency and regional availability requirements.
Business Value
Supports globally distributed applications with scale, local performance and regional fault isolation.
6. Security and Data Protection
Major Capabilities
Deep Data Security
Enforces authorization at the row, column or cell level for users, applications and AI agents.SQL Firewall
Detects and blocks unauthorized SQL statements and SQL injection attacks.Schema-Level Privileges
Simplifies access management without granting broad system privileges.Developer Role
Provides developers with a predefined least-privilege role.Multi-Factor Authentication
TLS 1.3
OAuth 2.0
Microsoft Entra ID integration
Constrained Kerberos delegation
Read-Only Users and Sessions
Longer Password Support
Existing Enterprise Controls
- Transparent Data Encryption
- Database Vault
- Data Redaction
- Virtual Private Database
- Unified Auditing
- Fine-Grained Auditing
- Privilege Analysis
- Oracle Key Vault integration
Business Value
Protects enterprise data at its source, regardless of whether it is accessed by a user, application, analytics tool or AI agent.
7. Analytics and Lakehouse
Major Capabilities
- Autonomous AI Lakehouse
- Apache Iceberg support
- Vector search over lakehouse data
- SQL analytics
- Graph analytics
- Spatial analytics
- JSON analytics
- Text search
- In-database machine learning
Business Value
Combines operational data, analytics, AI and open lakehouse data without creating multiple isolated platforms.
8. Performance and Optimization
Major Capabilities
- True Cache for read scalability
- Lock-Free Reservations for high-concurrency workloads
- Improved Hybrid Columnar Compression
- Wide tables with up to 4,096 columns
- Consolidated background processes
- RAC-based scale-out
- Sharding-based horizontal scaling
- Exadata optimization
Business Value
Improves transaction throughput, query performance, storage efficiency and application response time.
9. Manageability and DevOps
Major Capabilities
- Multitenant CDB and PDB architecture
- Automated provisioning and cloning
- Fleet patching and standardized maintenance
- Container images for development and CI/CD
- Automated backup and recovery
- Automatic performance diagnostics
- Autonomous tuning, indexing and scaling
- Simplified transition from Oracle Database 23ai
- Enterprise monitoring and observability
Business Value
Reduces operational effort and enables consistent database management across on-premises, cloud and multicloud environments.
Key Features at a Glance
| Category | Key Features |
|---|---|
| AI | Vector Search, Hybrid Search, RAG, Select AI, AI Agents and MCP |
| Applications | JSON Duality, JavaScript, Graph, Domains, Assertions and enhanced SQL |
| Microservices | Kafka APIs, TxEventQ, Sagas, REST, Redis and MongoDB-compatible APIs |
| High Availability | RAC, Data Guard, Active Data Guard, Application Continuity and True Cache |
| Distributed Database | Sharding, Raft Replication and geographic data distribution |
| Security | Deep Data Security, SQL Firewall, MFA, TLS 1.3 and Entra ID |
| Analytics | Autonomous AI Lakehouse, Iceberg, Graph, Spatial, JSON and ML |
| Performance | True Cache, HCC, lock-free transactions, RAC and Exadata |
| Operations | Multitenant, automation, containers, fleet management and autonomous operations |
Top Features for Enterprise Adoption
Immediate Priorities
- SQL Firewall and schema-level privileges
- Deep Data Security for applications and AI agents
- Application Continuity and Data Guard improvements
- JSON-Relational Duality for modern applications
- AI Vector Search for enterprise RAG
Strategic Priorities
- True Cache for read-intensive workloads
- Select AI and Select AI Agent
- Transactional Event Queues and Kafka APIs
- Autonomous AI Lakehouse and Apache Iceberg
- Sharding with Raft replication
Recommended Closing Slide
Why Oracle AI Database 26ai?
One Database for Modern Enterprise Workloads
- AI-native: Enterprise RAG, vector search and AI agents
- Developer-friendly: SQL, JSON, JavaScript, Graph and REST
- Mission-critical: RAC, Data Guard and Application Continuity
- Secure by design: Security enforced directly where the data resides
- Globally scalable: Sharding and distributed replication
- Converged: Operational, analytical, AI and lakehouse workloads on one platform
Oracle AI Database 26ai brings AI to trusted enterprise data while preserving security, consistency, scalability and availability.
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