Oracle Enterprise Manager Features

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations.

Tools to create and adjust workflows to ensure consistency.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Facilitates the disseminating of collected big data throughout parallel computing clusters

Compile data from across all systems so that users can view relevant information easily.

Monitors database functionality to verify baselines are maintained or exceeded. This feature was mentioned in 16 Oracle Enterprise Manager reviews.

Sends alerts via email, text, phone, and more when an incident or issue occcurs. This feature was mentioned in 16 Oracle Enterprise Manager reviews.

Captures logs for all database functions to garner greater information around issues or failures. This feature was mentioned in 16 Oracle Enterprise Manager reviews.

Monitors database query time for unusual execution times This feature was mentioned in 16 Oracle Enterprise Manager reviews.

Manually and/or automatically generates reports covering database performance This feature was mentioned in 15 Oracle Enterprise Manager reviews.

Based on 14 Oracle Enterprise Manager reviews. Follows database monitoring live information through graphical dashboards

Allows data movement from one database to another. This feature was mentioned in 12 Oracle Enterprise Manager reviews.

Provides data backup and recovery functionality to protect and restore a database. This feature was mentioned in 12 Oracle Enterprise Manager reviews.

Based on 11 Oracle Enterprise Manager reviews. Allows users to access and work on data concurrently, supporting several views of the data.

Based on 11 Oracle Enterprise Manager reviews. Stores the database metadata, that is the definitions of data elements, types, relationships etc.

Creates a copy of the database to maintain consistency and integrity. 11 reviewers of Oracle Enterprise Manager have provided feedback on this feature.

As reported in 13 Oracle Enterprise Manager reviews. Allows users to create, update and retrieve data in a database.

Based on 12 Oracle Enterprise Manager reviews. Defines the logical design of the data before building the schemas.

As reported in 14 Oracle Enterprise Manager reviews. Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

As reported in 12 Oracle Enterprise Manager reviews. Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.

Allows restricted user acess to modify depending on the access level. This feature was mentioned in 13 Oracle Enterprise Manager reviews.

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives