Why Use an Autonomous Database
Databases store critical business information and are essential for the efficient operation of modern organizations. DBAs are often overburdened with the time-consuming manual tasks of managing and maintaining databases. The demands of current workloads can lead to DBA errors, which can have a catastrophic impact on uptime, performance, and security.
For example, failing to apply a patch or security update can create vulnerabilities. Failing to apply the patch correctly can weaken or eliminate security protections altogether. If the database is not secure, the enterprise can be at risk for data breaches that can have serious financial repercussions and negatively impact a company’s reputation.
Business applications add new records to existing databases or use database information to create reports, analyze trends, or look for anomalies. This can cause databases to grow to many terabytes in size and become highly complex, making them even more difficult for DBAs to manage, secure, and tune for maximum performance. Databases that are slow-running or unavailable due to downtime can negatively impact employee productivity and frustrate customers.
The amount and velocity of data available to the enterprise is accelerating. This amplifies the need for efficient, secure database management that enhances data security, reduces downtime, improves performance, and is not vulnerable to human error. An autonomous database can achieve these objectives.