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Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates all the complexities of operating a data warehouse, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, and backing up of the data warehouse. It includes tools for self-service data loading, data transformations, business models, automatic insights, and built-in converged database capabilities that enable simpler queries across multiple data types and machine learning analysis. It’s available in both the Oracle public cloud and customers' data centers with Oracle Cloud@Customer.

Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse Innovations Oracle Autonomous Data Warehouse Innovations

Watch EVP Andrew Mendelsohn, Oracle Database Server Technologies, to learn about Oracle's latest cloud data warehouse innovations.

Why Snowflake Melts When Compared to Autonomous Data Warehouse Why Snowflake Melts When Compared to Autonomous Data Warehouse

Detailed analysis by industry expert DSC illustrates why Oracle Autonomous Data Warehouse is a better pick for the majority of global organizations

Autonomous Data Warehouse compatible applications and tools Autonomous Data Warehouse compatible applications and tools

Learn about applications and tools that are compatible with Autonomous Data Warehouse.

Get started with Oracle Autonomous Data Warehouse for free.

Why choose Oracle Autonomous Data Warehouse?

Autonomous warehouse management

Oracle Autonomous Data Warehouse eliminates nearly all manual administrative tasks. It automates common tasks like backup, configuration, and patching. Uniquely, it is also able to continuously automate performance tuning and autoscaling, with no downtime, human intervention or over-provisioning. This reduces administration effort by up to 90% and enables business teams to operate without help from IT.

Unior Group, based in Zreče, Slovenia, manage 85 million records with no database administrators. (1:23)

Watch the Autonomous Database video (1:00)

The 2025 Imperative: Intelligent Automation Now

A complete solution with self-service data tools and analytics

Autonomous Data Warehouse is the only complete solution that uses a converged database providing built-in support for multimodel data and multiple workloads. It includes built-in self-service tools to improve the productivity of analysts, data scientists, and developers.

Analyst report: Oracle's Autonomous Data Warehouse Enhancements: Democratizing Simplicity (PDF)

Maxim’s Caterers, based in Hong Kong, analyzes 600,000 daily transactions and social media data using ad-hoc queries and what-if analysis to improve business efficiency and competitiveness.

Autonomous for Business Success (PDF)

Available in Oracle public cloud or in customers’ data centers

Unlike other cloud data warehouse services, Autonomous Data Warehouse offers three deployment choices.

  • Shared infrastructure—offers the full benefits of Autonomous Data Warehouse for a lower cost.
  • Dedicated infrastructure—offers isolation, improved predictability and customer control of autonomous policies.
  • Cloud@Customer—offers Autonomous Data Warehouse on Exadata in customer data centers, meeting strict requirements for data sovereignty and security.
WinterCorp Research Note: Managed Cloud Database Deployment Options are Growing (PDF)

Comprehensive data and privacy protection

Autonomous Data Warehouse autonomously encrypts data at rest and in motion, protects regulated data, applies all security patches, and performs threat detection. In addition, customers can easily use Oracle Data Safe to conduct, user and privilege analysis, sensitive data discovery and protection, and activity auditing. Autonomous Data Warehouse makes it easy to keep data safe from outsiders and insiders.

DX Marketing, based in Savannah, Georgia, relies on Autonomous Data Warehouse to protect more than 260 million licensed records of US consumers and their associated private information. (1:54)

IDC Research: The Security Benefits of a Fully Managed Database Service (PDF)

Autonomous Data Warehouse

Simplified data warehouse management—with autonomous administration

Autonomous management capabilities, such as provisioning, configuring, securing, tuning, and scaling, eliminate nearly all the manual and complex tasks that can introduce human error. Autonomous management will enable customers to run a high-performance, highly available, and secure data warehouse while reducing administrative costs.

  • Auto-scaling
  • Auto-securing
  • Auto-tuning
  • Auto-backups
  • Auto-repairing
  • Auto-patching

Ensure consistent high performance

Autonomous Data Warehouse continuously monitors all aspects of system performance. It makes adjustments autonomously to ensure consistent high performance even as workloads, query types, and number of users vary.

  • Auto-scaling
  • Auto-tuning
  • Auto-indexing
  • Hybrid Columnar Compression
  • Columnar processing
  • Smart Scan
  • Automatic optimizer statistics gathering

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
  • Database activity monitoring and blocking
  • Consolidated auditing and reporting
  • Data masking
  • Data redaction

Self-service data management tools

Data tools provide a simple, self-service environment for loading data and making it available to their extended team for collaboration. Business and data analysts can easily load and transform data with drag-n-drop capabilities, generate business models, quickly discover anomalies, outliers and hidden patterns, understand data dependencies, and the impact of changes.

  • Data loading
  • Data Transformation
  • Business Model
  • Data Insights
  • Catalog

Machine learning for everyone

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.

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

Uncover hidden relationships in data

Graph databases make it easier to manage, represent, and interact with complex relationships in data. The graph model enables data scientists and developers to apply pattern recognition, classification, and statistical analysis, all of which allow for more efficient analysis at scale against massive amounts of data.

Oracle Autonomous Database already has graph capabilities for analyzing and visualizing graph models, but will soon add Graph Studio for a complete, managed platform for graph analytics.

Graph Studio key features:
  • Automated graph modeling
  • Automated install, upgrade, and provisioning
  • Autosave, backup, and checkpoint data restoration features
  • Advanced notebooks and visualization
  • Ability to schedule analysis
  • 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 model 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

5 reasons Why Oracle Autonomous Data Warehouse is better.

See what top industry analysts are saying about us

IDC finds Autonomous Data Warehouse customers obtain a
417% ROI in five years

IDC finds Autonomous Data Warehouse customers obtain a 417% ROI in five years.

Learn more
Wikibon finds Oracle Autonomous Database is 50% lower cost than AWS

Wikibon finds Oracle Autonomous Database is 50% lower cost than AWS.

Learn more (PDF)
Constellation Research

Constellation Research finds Oracle database has 32% more capacity than the largest AWS offering.

Learn more
View all Autonomous Database customer successes

An economical, efficient, and effortless customer experience

Learn how Oracle customers are using Oracle Autonomous Database to transform their businesses by redefining data warehousing through machine learning and automation

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Gartner Peer Insights

Gartner Peer Insights

"Oracle Autonomous Datawarehouse has met our expectations and is easy to use and performs well. Ease of use and query performance is exceptional."

Director, Cloud Data Warehouse in the Finance Industry 1

Use cases for Autonomous Data Warehouse

View all Autonomous Data Warehouse architecture patterns

March 17, 2021

Oracle Autonomous Data Warehouse: New innovations for data analysts, citizen data scientists, and LOB developers

George Lumpkin, Vice President, Product Management for Autonomous Data Warehouse

After the introduction of Autonomous Data Warehouse, organizations of all sizes recognized how simple it could be to provision a data warehouse. Since Autonomous Data Warehouse requires no operational administration (and thus does not require a database administrator), a cloud data warehouse is within the reach of many more organizations than before.

Read the complete post



Autonomous Data Warehouse pricing


Autonomous Data Warehouse documentation

Product documentation and help center to deploy Autonomous Data Warehouse service for shared and dedicated infrastructure.

Additional information

Cloud Learning
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Information, tips, tricks, and sample code for an autonomous, cloud-driven world.

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1 The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights reviews constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.