[ Oracle ... Reviews ](https://www.g2.com/products/oracle-enterprise-manager/reviews) [ Oracle ... Reviews ](https://www.g2.com/products/oracle-enterprise-manager/reviews) # Oracle Enterprise Manager Features ##### ## Administration (4) Data Modelling Tools to (re)structure data in a manner that allows extracting insights quickly and accurately Recommendations Analyzes data to find and recommend the highest value customer segmentations. Workflow Management Tools to create and adjust workflows to ensure consistency. Dashboards and Visualizations Presents information and analytics in a digestible, intuitive, and visually appealing way. Show More ##### ## Compliance (4) Sensitive Data Compliance Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards. Training and Guidelines Provides guidelines or training related to sensitive data compliance requirements, Policy Enforcement Allows administrators to set policies for security and data governance Compliance Monitoring Monitors data quality and send alerts based on violations or misuse Show More ##### ## Data Quality (3) Data Preparation Curates collected data for big data analytics solutions to analyze, manipulate, and model Data Distribution Facilitates the disseminating of collected big data throughout parallel computing clusters Data Unification Compile data from across all systems so that users can view relevant information easily. Show More ##### ## Functionality (6) Monitoring Monitors database functionality to verify baselines are maintained or exceeded. Alerting Sends alerts via email, text, phone, and more when an incident or issue occcurs. Logging Captures logs for all database functions to garner greater information around issues or failures. Response Time Monitors database query time for unusual execution times Reporting Manually and/or automatically generates reports covering database performance Data Visualization Follows database monitoring live information through graphical dashboards Show More ##### ## Maintenance (3) Data Migration Allows data movement from one database to another. Backup and Recovery Provides data backup and recovery functionality to protect and restore a database. Multi-User Environment Allows users to access and work on data concurrently, supporting several views of the data. Show More ##### ## Management (10) Data dictionary Stores the database metadata, that is the definitions of data elements, types, relationships etc. Data Replication Creates a copy of the database to maintain consistency and integrity. Query Language Allows users to create, update and retrieve data in a database. Data Modeling Defines the logical design of the data before building the schemas. Performance Analysis Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. Business Glossary Lets users build a glossary of business terms, vocabulary and definitions across multiple tools. Data Discovery Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources. Data Profililng Monitors and cleanses data with the help of business rules and analytical algorithms. Reporting and Visualization Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. Data Lineage Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination. Show More ##### ## Security (5) Data Encryption Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. User Access Control Allows restricted user acess to modify depending on the access level. Access Control Authenticates and authorizes individuals to access the data they are allowed to see and use. Roles Management Helps identify and manage the roles of owners and stewards of data. Compliance Management Helps adhere to data privacy regulations and norms. Show More ##### ## Maintainence (2) Data Quality Management Defines, validates, and monitors business rules to safeguard master data readiness. Policy Management Allows users to create and review data policies to make them consistent across the organization. Show More ##### ## Generative AI (2) AI Text Generation Allows users to generate text based on a text prompt. AI Text Summarization Condenses long documents or text into a brief summary. Show More ##### ## Agentic AI - Data Governance (6) Autonomous Task Execution Capability to perform complex tasks without constant human input Multi-step Planning Ability to break down and plan multi-step processes Cross-system Integration Works across multiple software systems or databases Adaptive Learning Improves performance based on feedback and experience Natural Language Interaction Engages in human-like conversation for task delegation Decision Making Makes informed choices based on available data and objectives Show More ##### ## Agentic AI - Database Monitoring (7) Autonomous Task Execution Capability to perform complex tasks without constant human input Multi-step Planning Ability to break down and plan multi-step processes Cross-system Integration Works across multiple software systems or databases Adaptive Learning Improves performance based on feedback and experience Natural Language Interaction Engages in human-like conversation for task delegation Proactive Assistance Anticipates needs and offers suggestions without prompting Decision Making Makes informed choices based on available data and objectives Show More [ ![RaimaDB](https://images.g2crowd.com/uploads/product/hd_favicon/83313a459cc0810a18988b127ba1eff3/raimadb.svg "RaimaDB") Sponsored RaimaDB 4.6/5 (7) Visit Website ](javascript:void(0)) ## Top-Rated Alternatives [ ![Dynatrace](https://images.g2crowd.com/uploads/product/hd_favicon/1512659484/dynatrace.svg "Dynatrace") Dynatrace 4.5/5 (1,231) ](https://www.g2.com/products/dynatrace/reviews) [ ![Datadog](https://images.g2crowd.com/uploads/product/hd_favicon/1498834114/datadog.svg "Datadog") Datadog 4.4/5 (708) ](https://www.g2.com/products/datadog/reviews) [ ![SolarWinds Database Observability](https://images.g2crowd.com/uploads/product/hd_favicon/af917f02e5d5dda08cf58d16d36f6a8d/database-observability.svg "SolarWinds Database Observability") SolarWinds Database Observability 4.5/5 (220) ](https://www.g2.com/products/database-observability/reviews) [ View All Alternatives ](https://www.g2.com/products/oracle-enterprise-manager/competitors/alternatives) Oracle Enterprise Manager Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_044cfbf6c03d107e5357e29e95fd9136/dynatrace.png "Product Avatar Image") Dynatrace 4.5/5 (1,363) [ Compare Now ](https://www.g2.com/compare/dynatrace-vs-oracle-enterprise-manager) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_91bcb2c063fcfb0a82dfedcf1a6463d1/splunk-enterprise.jpg "Product Avatar Image") Splunk Enterprise 4.3/5 (433) [ Compare Now ](https://www.g2.com/compare/oracle-enterprise-manager-vs-splunk-enterprise) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_d8b8c41042cee65bbe0640131a9f9e52/splunk-appdynamics.png "Product Avatar Image") Splunk AppDynamics 4.3/5 (375) [ Compare Now ](https://www.g2.com/compare/oracle-enterprise-manager-vs-splunk-appdynamics) ## Consulting Services for Oracle Enterprise Manager [ ![Accenture](https://images.g2crowd.com/uploads/product/hd_favicon/1487565548/accenture.svg "Accenture") Accenture 4.2/5 (107) ](https://www.g2.com/products/accenture/reviews) [See all Oracle Enterprise Manager Providers](https://www.g2.com/products/oracle-enterprise-manager/implementation) ##### Categories on G2 [ Data Governance ](https://www.g2.com/categories/data-governance-tools)[ Database Management Systems (DBMS) ](https://www.g2.com/categories/database-management-systems-dbms)[ Database Monitoring ](https://www.g2.com/categories/database-monitoring) ##### Explore More [ What are the best tools for improving data team collaboration? 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