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.
IDC 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 enterprise databases. In addition, it’s been estimated (PDF) that 72% of enterprise IT budgets goes to maintaining existing systems, leaving a mere 25% for innovation.
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 capacity.
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.