Oracle Autonomous Data Warehouse

Reduce risk with database security

Secure Autonomous Data Warehouse with a unified database security control center that identifies sensitive data and masks it, issues alerts on risky users and configurations, audits critical database activities, and discovers suspicious attempts to access data.

• Transparent data encryption
• Encryption key management
• Privileged user and multifactor access control
• Data classification and discovery
• Data masking
• Data redaction
• Database activity monitoring and blocking
• Consolidated auditing and reporting

Autonomous Database Data Studio

Data Studio comes built into Autonomous Database, offering users simple, self-service data management tools for loading, transforming, analyzing, and sharing data among teams for better collaboration. Business and data analysts can easily integrate data from more than 100 application, cloud service, and database sources with drag-and-drop workflow capabilities. Data Studio lets you generate business models; quickly discover anomalies, outliers, and hidden patterns; share data with stakeholders; and understand data dependencies based on the impact of changes.

• Data loading
• Data transformation
• Data analysis
• Data insights
• Catalog
• Data sharing

Machine learning and AI

Build and deploy machine learning models in Oracle Autonomous Data Warehouse using scalable and optimized in-database algorithms. Oracle Machine Learning accelerates the creation of machine learning models for data scientists by eliminating the need to move data to dedicated machine learning systems. Let your users ask any questions in their natural language and have Autonomous Database Select AI answer them.

• Automatic data preparation
• AutoML automates model development
• Easy model deployment through REST and SQL interfaces
• High performance, scalability, and security
• In-database algorithms
• Oracle Machine Learning services
• Oracle Machine Learning AutoML User Interface
• Oracle Machine Learning Notebooks
• Oracle Machine Learning for Python
• Oracle Machine Learning for SQL

Uncover hidden relationships in data

Autonomous Database includes graph database features to represent and manage complex data relationships. The graph analytics enable data scientists and developers to apply pattern recognition, classification, and statistical analysis for deeper context.

Graph Studio key features

• Ability to schedule analysis
• Advanced notebooks and visualization
• Automated graph modeling
• Automated install, upgrade, and provisioning
• Autosave, backup, and checkpoint data restoration features
• Sample notebooks and workflows for different use cases

Making sense of location

The spatial features in Autonomous Data Warehouse address all forms of applications, spatial workloads, and datasets, including the most demanding, large-scale location intelligence and geospatial applications.

• Data modeling and comprehensive analytics for 2D spatial data
• High performance, parallel spatial processing
• Standards-based SQL and Java APIs
• Native JSON and REST support
• Location tracking server
• Contact tracing built-in functions
• Self-service Spatial Studio

Improve the availability of data warehousing and analytics workloads

Autonomous Database provides more than 99.995% availability¹ with built-in Oracle Real Application Clusters, parallel infrastructure, automated disaster recovery, and backups.

• Automatic storage management
• Maximum availability architecture
• Oracle Active Data Guard
• Oracle Autonomous Health Framework
• Oracle Real Application Clusters
• Oracle Data Safe