The database of the future—Autonomous cloud database
The newest and most innovative type of cloud database is the self-driving cloud database
(also known as the autonomous
database, referenced earlier). This database type uses cloud technology and
machine learning to automate database tuning, security, backups, updates, and other
routine management tasks.
Self-driving databases are designed to automatically withstand hardware failures,
including those at cloud platform sites, and offer online full-stack patching of
software, firmware, virtualization, and clustering. They easily scale performance and
capacity as needed. Additionally, they protect data from both external attacks and
malicious internal users, and they avoid many of the downtime-related issues of the
other models—including planned maintenance.
research indicates (PDF) that as much as 75% of an enterprise’s total data management costs can be in labor
alone. A self-driving database could potentially save the average enterprise hundreds,
or perhaps thousands, of full-time employee hours annually for every one of its major
Self-driving databases could go a long way toward eliminating these high costs and
allowing enterprises to utilize their DBAs on higher value work—such as data
modeling, assisting programmers with data architecture, and planning for future
Gartner projects top growth for cloud databases
Gartner has touted cloud databases as one of the fastest-growing segments of the public
cloud services market and expects database-platform-as-a-service (dbPaaS) revenue to
reach almost $10 billion by 2021.