"Much like how Cloud EPM provides greater value to our customers by automating the operation, patching, and maintenance of the application, Autonomous Database provides us the same value so we can spend more time improving our service for our customers."
—Kash Mohammadi, Vice President, EPM Cloud, Oracle
"Using Autonomous Database enables us to manage over 1,000 databases across all OCI regions with no dedicated administrative head count. OCI Operations Insights Cloud Service has also been able to achieve per tenant level predictable performance and immensely improved data security by isolating each tenant’s data to dedicated Autonomous Data Warehouse instances. Managing such a large number of databases across regions would have been impossible without Autonomous Database technology."
—Girish Kumar Balachandran, Senior Director of Software Development, Oracle
"With hundreds of databases in dozens of regions, we have no other way than Autonomous Database to provision and monitor our databases. Patching, backups, and scaling just wouldn’t be possible with our team."
—Tom Staaden, Director of OCI Application Performance Monitoring Cloud Service Repository Team, Oracle
"We rely on Oracle Autonomous Database to run OS Management Service and are able to operate about 5,000 databases with no DBAs. I would not want to go back to any other database. With Autonomous Database, our team can do more high value work because we don’t have to spend time tuning, optimizing, backing up, patching, or updating databases."
—Wiekus Beukes, Director of Software Development, OracleLearn how Oracle manages 800 TB
"Today we deploy over 10,000 databases managing over 470 terabytes of data and we don’t need a single dedicated database administrator. I sleep better at night knowing I don’t have to worry about the database my service depends on."
—Yogesh Kumar, Senior Director of Software Development, Oracle
Two instances of Autonomous Database support more than 300 marketing users.
Oracle Guided Learning and Oracle MyLearn applications improve performance, scalability, and security with Autonomous Database.
Hundreds of millions of events per hour to give customers a view of their security posture.
A 200 TB self-service data warehouse, integrated with a 2 PB data lake in a lakehouse architecture, supporting 2,000 users.
Replace multiple databases with Autonomous Database in a microservices architecture.
Two people supporting more than 500 users, including data scientists and business analysts.
500 databases, no dedicated administration, and savings up to 30 people.
More than 1,000 databases, no dedicated administration, and improved security and predictability.
5,000 databases, 800 terabytes, and no dedicated administration resources.
Support more than 6,000 customer instances with no dedicated administration resources.
Moved from AWS for better performance, higher elasticity, zero downtime, improved security, and reduced costs.
Operate 10,000 databases managing 470 TB with no dedicated administration.
Run cloud product analytics on Autonomous Database in a lakehouse architecture.
Migrate from Hadoop to Autonomous Database and adopt a DevOps model.
Deliver a real-time view of customer data and improve performance up to 30X.
Migrate to Autonomous Database and let developers spend time building new functionality, not managing databases.
Data scientists analyze data from more than 60 sources using Autonomous Database.