Oracle Autonomous Database shifts focus from IT to strategic planning

In a June 2019 report, Gartner stated that cloud databases are driving most of the growth in the database market and are becoming the primary focus of vendor R&D work. “The thesis: the cloud is now the default platform for managing data,” Gartner analyst Adam Ronthal wrote in a blog post on the report. “On-premises is a thing of the past, and only legacy compatibility or special requirements should keep you there.

Oracle adhered to this thesis. Its strategy now focuses on Oracle Autonomous Database, a cloud service launched in 2018 that adds machine learning and automated administration capabilities on top of its Oracle Database software. The company says the Autonomous Database essentially manages itself, from provisioning system resources for the databases to performance tuning and applying software patches.

For Oracle users, the cloud service offers a database management system (DBMS) “that is much easier and less expensive to procure and scale than an on-premises counterpart,” said said Robert Hamel, vice president of client service delivery at consulting firm Pythian. Services.

But, in an August 2019 blog post, Hamel added that Oracle Database is missing some features and other potential drawbacks to be aware of before logging in to use cloud DBMS technology. For example, users cannot control database initialization parameters and tablespaces or database instance memory sizes and configurations in Oracle Autonomous Database, Hamel wrote.

This manual takes a closer look at the Autonomous Database and what it has in store for potential users. First, we look at how this changes the role of database administrators and the deployment issues that organizations need to address. Next, we detail Oracle’s new options and development plans for the cloud service. We finish by recounting the experiences of some early adopters of Oracle Autonomous Data Warehouse, the data warehousing version of Autonomous Database.

Maria H. Underwood