Oracle Autonomous Database

Oracle Autonomous Database in all its flavors continues without a response from competitors even after three years in the market,” said Holger Mueller, Vice President and Principal Analyst, Constellation Research. “Now Oracle is adding to that lead with enhancements to Autonomous Data Warehouse that aim to democratize all aspects of analytics and machine learning by eliminating the need for users to know SQL. Instead Oracle provides drag and drop UIs, AutoML for building and testing machine learning models, so that business users can do their own data explorations without depending on IT, DBAs, or system administrators to manage the data. All of this is built on Oracle’s converged database foundation which gives users access to all data models and types within a single database.

Holger Mueller Vice President and Principal Analyst, Constellation Research

Enabling data analysts, citizen data scientists, and business users to create and analyze their own data sets with self-service tools avoids IT bottlenecks and significantly improves their productivity. This is exactly what Oracle has done with its enhancements to Autonomous Data Warehouse. Oracle is equipping integrated tools with intuitive drag-and-drop interfaces that make it easier for data analysts to load, transform, and clean data; further, they can leverage machine learning to automatically create business models and discover patterns, thereby generate insights—leading to better and faster business decisions.

Bradley Shimmin Chief Analyst, Omdia