Oracle Database Cloud Service Features

Configuration (5)

Application Performance: Functions when integrated with multiple forms of external applications. This feature was mentioned in 15 Oracle Database Cloud Service reviews.
Orchestration: Allows admisistrators to manage and organize storage, networks, and datacenters. This feature was mentioned in 15 Oracle Database Cloud Service reviews.
Database Monitoring: Monitors performance and statistics related to memory, caches and connections. This feature was mentioned in 15 Oracle Database Cloud Service reviews.
Anomaly Detection: As reported in 14 Oracle Database Cloud Service reviews. Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue.
Network Security: Based on 13 Oracle Database Cloud Service reviews. Secures data at rest and in transit from unauthorized access.

Provisioning: Based on 14 Oracle Database Cloud Service reviews. Allows administrators to organize components of the database to maintain instance efficiency.
Governance: Allows the creating and relinquishing of database access credentials. 13 reviewers of Oracle Database Cloud Service have provided feedback on this feature.
Auditing: As reported in 14 Oracle Database Cloud Service reviews. Documents access and alterations of the database for analytics and reporting.

Scalability: Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality. 14 reviewers of Oracle Database Cloud Service have provided feedback on this feature.
Backup: Based on 14 Oracle Database Cloud Service reviews. The abillity to restore files to its original loacation or alternative sources on-demand.
Archiving: Based on 13 Oracle Database Cloud Service reviews. Stores historical records of information for reverting or reference.
Indexing: As reported in 13 Oracle Database Cloud Service reviews. Helps users navigate databases by labeling and organizing datasets.
Auto Sharding: Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.
Auto Recovery: Restores a database to a correct (consistent) state in the event of a failure.
Data Replication: Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.
Auto Sharding: Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.
Auto Recovery: Restores a database to a correct(consistent) state in the event of a failure.
Data Replication: Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Data Masking: Data masking provides an additional layer of access control that can be applied to tables and views.
Authentication And Single Sign-On: Verifies identity of database users.
Data Anonymization: Allows users to gain statistically valid insights from their data while protecting the privacy of individuals.
Role-Based Authorization: Provides predefined system roles, privileges, and user-defined roles to users.
Authentication: Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.
Encryption: Provides encryption capability for all the data at rest using encryption keys.
Role-Based Authorization: Provides predefined system roles, privileges, and user-defined roles to users.
Authentication: Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.
Audit Logs: Provides an audit log to track access and operations performed on databases for regulatory compliance.
Encryption: Provides encryption capability for all the data at rest using encryption keys.

Data Replication: Helps in improving the availability of data.
Advanced Data Analytics: Uses machine learning algorithms to gain actionable insights.
Data Model: Stores data as key-value pairs where key is a unique identifier.
Data Types: Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.
Data Model: Stores and queries data as JSON-like documents.
Data Types: Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.
Built - In Search: Allows users to index at ingest and query endlessly across data.
Event Triggers: Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.