Oracle Autonomous Database on Exadata Cloud@Customer

Autonomous Database in your data center

Autonomous operations

Replace error-prone manual management with machine-learning-driven automation to patch, scale, tune, secure, back up, and repair databases.

Data sovereignty and governance

Virtually eliminate database management complexity while instituting flexible lifecycle and operational policies that meet regulatory, residency, and governance requirements.

Pay-per-use subscription model

Match your cloud resources to your business needs and only pay for the resources you consume.

Enhanced data security

Reduce risk with automated patching and database encryption, in-depth auditing, and data privacy management for sensitive data redaction, masking, and privilege analysis.

OLTP and real-time analytics

High performance

Get the highest performance with purpose-built Exadata hardware and the automated database tuning and indexing capabilities of Autonomous Database.

High availability

Improve availability for your databases with Real Application Clusters (RAC), redundant compute, high-speed networks, triple-mirrored storage, application continuity, flash storage, and automated disaster recovery and backups.

Database optimization

Enable developers to build applications and not worry about optimizing databases by taking advantage of automated performance tuning.

Converged database

Replace the complexity and security risk of managing multiple single-purpose databases with one autonomously managed database that supports data types such as relational, JSON, spatial, graph, and key value.

Data warehousing

Scalable high-performance queries

Create automated data summaries, optimized queries, and scale compute and I/O up to 3X for consistent fast-query performance through purpose-built Exadata hardware and software.

Built-in analytics

Accelerate data analysis with built-in machine learning, spatial, graph, and text analytics.

Analysis for all your data

Work with all data types including relational, graph, JSON, and spatial, as well as data in object storage-based data lakes.