Displaying items by tag: autonomous database
Oracle Chairman of the Board and CTO, Larry Ellison, has unveiled his vision for the world’s first autonomous database cloud. The next generation of the database, Oracle Autonomous Database Cloud, uses machine learning to enable automation that eliminates human labor, human error and manual tuning, to enable high availability, performance and security at a much lower cost.
“This is the most important thing we’ve done in a long, long time,” said Ellison. “The automation does everything. We can guarantee availability of 99.995 percent, less than 30 minutes of planned or unplanned downtime.”
The Oracle Autonomous Database Cloud eliminates the human labor associated with tuning, patching, updating and maintaining the database. It includes capabilities such as ‘self-driving’ by providing continuous adaptive performance tuning based on machine learning. It automatically upgrades and patches itself while running and automatically applies security updates to protect against cyber-attacks.
The autonomous database is also capable of ‘self-scaling’ by instantly resizing compute and storage without downtime. Cost savings are multiplied because it consumes less compute and storage than Amazon, with lower manual administration costs. The solution is also capable of ‘self-repairing’ by providing automated protection from downtime.
SLA (service level agreement) guarantees 99.995 percent reliability and availability, which reduces costly planned and unplanned downtime to less than 30-minutes per year.
The Oracle Autonomous Database Cloud handles many different workload styles, including transactions, mixed workloads, data warehouses, graph analytics, departmental applications, document stores and IoT. The first Autonomous Database Cloud offering, for data warehouse workloads, is planned to be available in 2017.