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Patch drift, data sprawl, and wasted hardware are just a few of the consequences of managing multiple databases spread across data centers or clouds. Reign in the sprawl by consolidating disparate database instances onto a single database system or run mixed workloads on Oracle Database Exadata Cloud Service. Using built-in resource management tools, dictate which databases are allowed to use resources, including memory, CPU, and query priority on the Exadata Storage Cells. Consolidate even further with the multitenancy option.
Automatically back up your database to the cloud with a single, fully encrypted click. Seamlessly create an Oracle Active Data Guard instance that provides a transactional alike database to fail over to in the event of a disaster. Leverage Oracle Cloud as a disaster recovery site for your on-premises Oracle Databases via secure networking that extends your intranet into a private virtual cloud network.
Oracle Database Cloud Services employ the in-memory database option for hyper-fast, on-demand queries and analytics. Combine this with Oracle Database Exadata Cloud Service and leverage terabytes of flash cache and Oracle Exadata Storage Servers for subsecond reporting and analytics, all without a single change to your applications or analytics software.
Zero downtime, high availability, redundancy, and data protection are just some of the mission-critical features needed in a cloud infrastructure. Oracle Database Exadata Cloud Service comes preintegrated with Oracle Maximum Availability Architecture (MAA), best practices for database high availability (HA), and technologies such as Oracle Real Application Clusters (Oracle RAC), automatic storage management, recovery manager, flashback database, and Oracle Active Data Guard. What’s more, Oracle Exadata-specific HA capabilities such as instant detection of compute and storage server failures, redundant hardware components, and three-way storage mirroring significantly enhance availability.
Oracle delivers unmatched scale for relational, graph, spatial, semi-structured, and unstructured non-relational data as well as streaming data for OLTP, warehousing, machine learning, text search, image analytics, and deep learning.
Autonomous | Database Cloud Services | NoSQL | Big Data | |
---|---|---|---|---|
Offerings | Autonomous Transaction Processing Autonomous Data Warehouse |
Exadata Cloud Service Database Cloud Service Exadata Cloud at Customer |
NoSQL | Big Data Cloud Service Big Data SQL Cloud Service Big Data Cloud at Customer |
Use Case | Transactions, Batch, Reporting, IoT Data Warehouse, Data Mart Require Availability SLA > 99.95 percent |
All workloads Broad range of price/performance |
Web scale applications Mobile, Catalog, IoT |
Analytics Hadoop workloads Data virtualization |
Performance | Highest, automatically tuned | General to highest, customer tuned | General to high | General to high |
Management | Oracle | Customer | Customer | Customer |
Database Versions | 18c, 19c | 11g, 12.1, 12.2, 18c | N/A | CDH 5.x, CDH 6.x and Oracle Database 12c, 18c |
Infrastructure | Exadata | Exadata, Bare Metal, Virtual Machine | Bare Metal, Virtual | Exadata |