Oracle Autonomous Database
Self-driving database that uses machine learning for automated management and built-in AI capabilities for developing scalable AI-powered applications.
At a Glance
Pricing
Try Oracle Autonomous Database for 30 days with access to Free trial available.
Engagement
Available On
About Oracle Autonomous Database
Oracle Autonomous Database is a revolutionary cloud database solution that leverages extensive machine learning and AI capabilities to automate database management tasks traditionally performed by human administrators. The platform provides self-driving, self-securing, and self-repairing functionality that eliminates manual database management, significantly reducing human error while improving reliability, security, and operational efficiency. This AI-powered approach allows organizations to focus on deriving value from their data rather than managing the underlying infrastructure.
What distinguishes Oracle Autonomous Database is its comprehensive approach to automation combined with integrated AI development capabilities. The platform not only handles routine administration tasks like patching, upgrading, and tuning but also offers built-in AI features that enable developers to create sophisticated applications directly within the database environment. Users can develop AI-powered applications with any data type using their preferred large language models, which can be deployed flexibly in the cloud or on-premises data centers. This combination of autonomous operation and AI development tools makes Oracle Autonomous Database a unique solution that addresses both operational efficiency and innovation needs, enabling organizations to accelerate their digital transformation initiatives while maintaining enterprise-grade performance, availability, and security.
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Pricing
30 days
Try Oracle Autonomous Database for 30 days with access to Free trial available.
- Free trial available
Capabilities
Key Features
- Self-driving operational management
- Automated security and patching
- Self-tuning performance optimization
- Serverless compute auto-scaling
- Built-in machine learning algorithms
- Native support for multiple data types
- LLM integration capabilities
- Zero-downtime maintenance
