(31)
4.6 out of 5
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Oracle Enterprise Manager
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Oracle Enterprise Manager Features
What are the features of Oracle Enterprise Manager?
Functionality
- Monitoring
- Alerting
- Logging
- Response Time
- Reporting
- Data Visualization
Maintenance
- Data Migration
- Backup and Recovery
- Multi-User Environment
Management
- Data Replication
- Query Language
- Data Modeling
- Performance Analysis
Security
- Data Encryption
- User Access Control
Oracle Enterprise Manager Categories on G2
Filter for Features
Administration
Data Modelling | Tools to (re)structure data in a manner that allows extracting insights quickly and accurately | Not enough data | |
Recommendations | Analyzes data to find and recommend the highest value customer segmentations. | Not enough data | |
Workflow Management | Tools to create and adjust workflows to ensure consistency. | Not enough data | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data |
Compliance
Sensitive Data Compliance | Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards. | Not enough data | |
Training and Guidelines | Provides guidelines or training related to sensitive data compliance requirements, | Not enough data | |
Policy Enforcement | Allows administrators to set policies for security and data governance | Not enough data | |
Compliance Monitoring | Monitors data quality and send alerts based on violations or misuse | Not enough data |
Data Quality
Data Preparation | Curates collected data for big data analytics solutions to analyze, manipulate, and model | Not enough data | |
Data Distribution | Facilitates the disseminating of collected big data throughout parallel computing clusters | Not enough data | |
Data Unification | Compile data from across all systems so that users can view relevant information easily. | Not enough data |
Functionality
Monitoring | Monitors database functionality to verify baselines are maintained or exceeded. This feature was mentioned in 16 Oracle Enterprise Manager reviews. | 98% (Based on 16 reviews) | |
Alerting | As reported in 16 Oracle Enterprise Manager reviews. Sends alerts via email, text, phone, and more when an incident or issue occcurs. | 95% (Based on 16 reviews) | |
Logging | As reported in 16 Oracle Enterprise Manager reviews. Captures logs for all database functions to garner greater information around issues or failures. | 89% (Based on 16 reviews) | |
Response Time | Monitors database query time for unusual execution times 16 reviewers of Oracle Enterprise Manager have provided feedback on this feature. | 86% (Based on 16 reviews) | |
Reporting | Manually and/or automatically generates reports covering database performance This feature was mentioned in 15 Oracle Enterprise Manager reviews. | 90% (Based on 15 reviews) | |
Data Visualization | Follows database monitoring live information through graphical dashboards 14 reviewers of Oracle Enterprise Manager have provided feedback on this feature. | 82% (Based on 14 reviews) |
Maintenance
Data Migration | Based on 12 Oracle Enterprise Manager reviews. Allows data movement from one database to another. | 86% (Based on 12 reviews) | |
Backup and Recovery | As reported in 12 Oracle Enterprise Manager reviews. Provides data backup and recovery functionality to protect and restore a database. | 93% (Based on 12 reviews) | |
Multi-User Environment | As reported in 11 Oracle Enterprise Manager reviews. Allows users to access and work on data concurrently, supporting several views of the data. | 91% (Based on 11 reviews) |
Management
Data dictionary | As reported in 11 Oracle Enterprise Manager reviews. Stores the database metadata, that is the definitions of data elements, types, relationships etc. | 92% (Based on 11 reviews) | |
Data Replication | Based on 11 Oracle Enterprise Manager reviews. Creates a copy of the database to maintain consistency and integrity. | 85% (Based on 11 reviews) | |
Query Language | As reported in 13 Oracle Enterprise Manager reviews. Allows users to create, update and retrieve data in a database. | 86% (Based on 13 reviews) | |
Data Modeling | See feature definition | Defines the logical design of the data before building the schemas. This feature was mentioned in 12 Oracle Enterprise Manager reviews. | 83% (Based on 12 reviews) |
Performance Analysis | Based on 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. | 88% (Based on 14 reviews) | |
Business Glossary | Lets users build a glossary of business terms, vocabulary and definitions across multiple tools. | Not enough data | |
Data Discovery | Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources. | Not enough data | |
Data Profililng | Monitors and cleanses data with the help of business rules and analytical algorithms. | Not enough data | |
Reporting and Visualization | Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. | Not enough data | |
Data Lineage | Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination. | Not enough data |
Security
Data Encryption | Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. This feature was mentioned in 12 Oracle Enterprise Manager reviews. | 94% (Based on 12 reviews) | |
User Access Control | As reported in 13 Oracle Enterprise Manager reviews. Allows restricted user acess to modify depending on the access level. | 94% (Based on 13 reviews) | |
Access Control | Authenticates and authorizes individuals to access the data they are allowed to see and use. | Not enough data | |
Roles Management | Helps identify and manage the roles of owners and stewards of data. | Not enough data | |
Compliance Management | Helps adhere to data privacy regulations and norms. | Not enough data |
Maintainence
Data Quality Management | Defines, validates, and monitors business rules to safeguard master data readiness. | Not enough data | |
Policy Management | Allows users to create and review data policies to make them consistent across the organization. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Agentic AI - Data Governance
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Database Monitoring
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Consulting Services for Oracle Enterprise Manager
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