Oracle Autonomous Data Warehouse eliminates nearly all the manual labor of operating a data warehouse. Analysts, developers and data scientists get a complete suite of built-in tools for data ingest, analytics and machine learning. Integrated tools and autonomous administration allow the line of business to deploy and operate a self-service data warehouse without calling IT for help. It’s easy to evaluate using Oracle Cloud Free Tier, which includes two always-free Oracle Autonomous Database instances, plus US$300 in free credits for other Oracle Cloud services.
Create an account through a web browser or mobile device. It only takes a few minutes.
Customers access the Oracle Cloud Infrastructure (OCI) console after the sign-up process is complete. The web interface makes it easy to create a database in minutes.
Built-in tools provide users with data loading, data transformation, business modeling, automatic data insights, and data lineage. Self-service tools make business analysts more productive by eliminating the need for assistance from IT or other experts.
Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using Python, R and SQL.
Build and deploy modern, data-driven applications up to 38X faster with Oracle Application Express (APEX, a preconfigured, secured and fully managed low-code application development platform.
Graph Studio simplifies and automates the modeling, analysis, and visualization of data in graph format. Analysts, application developers, and data scientists will spend less time generating insight and putting the results of that analysis to work.
Built-in spatial analytics capabilities allow customers to easily manage different types of geospatial data, perform hundreds of location intelligence analytics, and use interactive map visualization tools. Developers will be able to build new kinds of applications, and increase the performance of existing applications using spatial data.
Autonomous Data Warehouse data tools enable simple drag-and-drop data loading, data transformation, business modeling, and automatic discovery of insights.