Oracle Enterprise Data Management Reviews & Pricing

by Oracle | 1977, Redwood Shores, CA

REQUEST WITH NO OBLIGATION$ Request Pricing Get Free Demo

Overview Pricing Benefits Reviews Features

Categories:

What is Oracle Enterprise Data Management?

Industry Specialties: Serves all industries.

Oracle Data Enterprise Management is a comprehensive suite designed to manage critical data across an enterprise's complex database environment. Tailored for medium to large organizations, it helps streamline database administration, automate tasks, and optimize performance. Key offerings include advanced analytics, data consolidation, and strong security measures. Its benefits include a substantial reduction in database management overhead, a unified interface for multiple databases, and the ease of integrating with Oracle's ecosystem, providing a strong selling point over competitors. However, its emphasis on Oracle environments may limit its appeal for businesses using a diverse set of database technologies. Pricing models are typically aimed at enterprises, and may not be cost-effective for smaller organizations. Users rate its performance highly in terms of reliability and feature set, though some report steep learning curves and complex configuration processes.

Pros

Streamlined database administration
Comprehensive analytics integration
Substantial automation of tasks
Robust security features
Seamless Oracle ecosystem integration

Cons

Oracle-centric design may limit diversity
Costly for small businesses
Complex configuration procedures
Steep learning curve for newcomers
Hefty system demands

PRICE

COMPANY SIZE

DEPLOYMENT

PLATFORM

Try Before You Buy.

Request a Free Demo Today!

Request Demo

It's completely free!

Product Screenshots and Videos

Oracle Enterprise Data Management Pricing

Based on our most recent analysis, Oracle Enterprise Data Management pricing starts at $0 (Per ECPU, Hourly).

Get Price Quote

Price: $
$
$
$
$

i
Starting From: $0.02
Pricing Model: Per ECPU, Hourly
Free Trial: Yes, Request for Free

Training Resources

Oracle Enterprise Data Management is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Oracle Enterprise Data Management:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Oracle Enterprise Data Management Benefits and Insights

Why use Oracle Enterprise Data Management?

Key differentiators & advantages of Oracle Enterprise Data Management

Administrative Efficiency: Empowers database administrators with tools to reduce hands-on time managing databases, resulting in operational cost savings.
Performance Optimization: Offers insights into database performance, leading to faster identification and resolution of inefficiencies and bottlenecks.
Data Security Enhancement: Advances an organization's security posture with multifaceted security protocols, helping protect critical data assets against breaches.
Compliance Assistance: Aids in fulfilling compliance requirements with regulatory standards by providing comprehensive data governance tools.
Unified Management Platform: Enables a cohesive management experience across Oracle database investments, simplifying complexity and reducing risk.
Advanced Analytics Accessibility: Allows organizations to harness the power of advanced analytics, delivering deeper insights that inform strategic decisions.
Disaster Recovery Readiness: Enhances the ability to quickly recover from data-related disasters, minimizing downtime and business disruption.
Cloud and On-Premises Synergy: Supports both cloud and on-premises strategies, providing the flexibility to align with business continuity plans.
Scalability: Scales with the growth of the organization, adeptly managing increased data loads and complex database architectures.
Resource Optimization: Utilizes advanced resource management techniques to maximize database efficiency, leading to optimized hardware and software investment.
Strategic IT Focusing: Frees up IT resources from routine database management tasks, allowing focus on more strategic technology initiatives.
Quality of Service Improvement: Delivers enhanced quality of service for database-centric applications, translating to better end-user experiences.
Accelerated Problem Resolution: Facilitates quicker resolution of database issues through proactive monitoring and automated problem identification features.
Standardization: Drives the standardization of database operational procedures, which contributes to a more consistent and controlled IT environment.
Expertise Consolidation: Leverages the extensive Oracle ecosystem to provide a repository of knowledge and best practices for database management.

Industry Expertise

While Oracle Data Enterprise Management offers core data management solutions across various industries, it possesses specific expertise in addressing the unique needs of highly regulated sectors like Finance, Healthcare, and Government. This expertise manifests in pre-built compliance frameworks, industry-specific data governance tools, and deep understanding of complex regulatory requirements in these domains.

Synopsis of User Ratings and Reviews

Based on an aggregate of Oracle Enterprise Data Management reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Comprehensive Data Management: Provides a single platform for managing the entire data lifecycle, including data discovery, quality, governance, and integration.
Pre-built Compliance Frameworks: Simplifies compliance efforts with various regulations (HIPAA, GDPR, CCPA) through automation and pre-built templates, saving time and reducing audit risks.
Granular Data Access Control: Ensures only authorized users have access to specific data based on pre-defined rules, enhancing data security and privacy.
Scalability and Performance: Supports petabyte-scale data deployments and high-performance workloads, ensuring reliable data management even for large and complex environments.
Advanced Analytics and Machine Learning: Leverages AI and machine learning for intelligent data management tasks, such as data profiling and anomaly detection, providing valuable insights and improving efficiency.

Cons

Complex Setup and Configuration: Setting up and configuring Oracle Data Enterprise Management can be complex and time-consuming, requiring technical expertise and potentially professional services.
Steep Learning Curve: The platform's user interface and features can be complex and require significant training for users to become proficient, hindering user adoption and productivity.
Limited On-Premise Support: Primarily focuses on cloud deployments, with limited support for on-premise environments, potentially restricting its use for organizations with specific data sovereignty requirements.
Limited Free Tier: The free tier offers limited features and data volume, making it unsuitable for large-scale deployments and potentially limiting its adoption for small organizations.
Limited Integrations with Certain BI Tools: While the platform integrates with various data platforms, its integration with some popular BI tools may be limited, potentially impacting data analysis workflows.

Researcher's Summary:

Oracle Enterprise Data Management (EDM) evokes mixed feelings among users. Proponents praise its robust data integration capabilities, citing seamless syncing between disparate sources like SAP and Salesforce. "It's like having a single source of truth," one user remarked, eliminating data silos and streamlining reporting. Others commend its scalability and performance, handling massive datasets without breaking a sweat. "We manage petabytes of data, and EDM churns through it like a champ," another reviewer shared. However, critics point to complexity and cost as major drawbacks. The steep learning curve and lack of intuitive interface are frequent complaints. "It's like trying to fly a plane with a joystick made of spaghetti," one user lamented. Additionally, the hefty price tag and ongoing maintenance fees deter some. "It's like a luxury car – powerful, but not everyone can afford the gas," joked another reviewer. Compared to competitors like Informatica PowerCenter, users find EDM more feature-rich but less user-friendly. "Informatica is like a Swiss Army knife – versatile but fiddly," one user commented. Conversely, Talend Open Studio's open-source nature is appreciated, but its limited scalability raises concerns. "Talend is like a Vespa – great for cruising around town, but not built for the highway," another user quipped. Ultimately, Oracle EDM's value proposition hinges on your needs. If you prioritize robust data integration and performance, and have the budget and expertise to handle its complexities, it can be a powerful asset. But for smaller businesses or those seeking ease of use, alternative solutions might offer a smoother ride.

Key Features

Notable Oracle Data Enterprise Management features include:

Data Catalog: Provides a comprehensive inventory of all data assets across the enterprise, including metadata, lineage, and access controls.
Data Governance: Enables organizations to define and enforce data governance policies across their data landscape, ensuring data quality, consistency, and compliance.
Data Lineage Tracking: Tracks the origin and movement of data throughout its lifecycle, improving transparency and facilitating data analysis and compliance.
Data Masking and Encryption: Protects sensitive data through encryption at rest and in transit, as well as dynamic data masking for specific user roles.
Data Quality Management: Identifies and corrects data quality issues, improving data accuracy and reliability.
Data Archiving and Retention: Provides efficient and compliant data archiving and retention capabilities, reducing storage costs and meeting regulatory requirements.
Data Security: Offers robust security features, including access controls, user authentication, and audit logging, to protect sensitive data from unauthorized access.
Data Integration: Integrates seamlessly with various data sources and applications, enabling centralized data management and analysis.
Self-Service Data Access: Empowers users to access and analyze data without relying on IT, fostering data-driven decision making across the organization.
Machine Learning Integration: Leverages machine learning algorithms for automated data discovery, classification, and quality management, improving data governance efficiency.
Scalability and Performance: Supports petabyte-scale data volumes and high-performance workloads, ensuring efficient data management for large and complex organizations.
Pre-built Compliance Frameworks: Helps organizations comply with various industry regulations, including HIPAA, GDPR, and CCPA, through automated compliance workflows and pre-built templates.
Advanced Analytics: Offers powerful data analysis capabilities, including data exploration, visualization, and reporting, enabling users to gain insights from their data.
Cloud-based Deployment: Provides a flexible and scalable cloud-based deployment option, eliminating the need for on-premise infrastructure.

Approach to Common Challenges

Inconsistent Data Quality: Oracle Data Enterprise Management enhances data quality by offering robust cleansing and validation processes, ensuring reliable and accurate data for decision-making.
Regulatory Compliance: The suite includes comprehensive policy management and auditing tools that simplify adherence to regulations such as GDPR and HIPAA, reducing the risk of non-compliance penalties.
Lack of Data Accessibility: Through centralized management, it provides controlled data access, allowing secure data sharing within the governance framework and facilitating a collaborative environment.
Fragmented Data Silos: Oracle’s solution addresses data silos by integrating data from disparate sources, presenting a unified data view to improve insights and business intelligence.
Data Security Threats: Advanced security features within the platform protect sensitive data against threats, with encryption, access controls, and real-time monitoring to mitigate security risks.
Complex Change Management: It streamlines change management by automating many aspects of database maintenance and updates, reducing human error and the resources required for manual interventions.
Inefficient Data Lifecycle Management: The suite provides tools for efficient data lifecycle management, from creation to archiving or deletion, ensuring data relevance and optimized storage.

Cost Of Ownership

Frequently asked questions regarding Oracle Data Enterprise Management pricing include:

Q: What is the pricing model for Oracle Data Enterprise Management?
A: Oracle Data Enterprise Management uses a subscription-based pricing model with individual licensing for each module. Pricing is not publicly available and varies depending on the specific modules required, the number of users, and the size of the deployment.
Q: What are the additional costs associated with using Oracle Data Enterprise Management?
A: In addition to the subscription fees, additional costs may include professional services for implementation and customization, training for users and administrators, and ongoing support. You may also incur cloud storage costs depending on your chosen cloud platform and data storage needs. It is crucial to factor in all potential costs when evaluating the total cost of ownership of Oracle Data Enterprise Management.
Q: How does Oracle Data Enterprise Management's cost compare to other data management solutions?
A: Oracle Data Enterprise Management's pricing is generally considered competitive with other enterprise-grade data management solutions. However, the specific price comparison will vary depending on the required features and functionality. Carefully compare features, capabilities, and consider your budget before making a decision. Remember, Oracle offers pre-built compliance frameworks and automation tools that can save time and cost compared to other solutions.

Limitations

Notable limitations of Oracle Data Enterprise Management include:

Limited On-Premise Support: Primarily focuses on cloud deployments, with limited support for on-premise environments, potentially restricting its adoption for organizations with strict data sovereignty requirements.
Complex Setup and Configuration: Setting up and configuring the platform can be complex, requiring technical expertise and potentially professional services, increasing implementation costs and time.
Limited Integrations with BI Tools: While integrating with various data platforms, its integration with some popular BI tools may be limited, potentially impacting data analysis workflows and user experience.
Limited Free Tier: The free tier has limited features and data volume, making it unsuitable for large-scale deployments and potentially limiting its adoption for small organizations.
Steep Learning Curve: The user interface and features can be complex and require significant training for users to become proficient, potentially impacting user adoption and productivity.

Demo Resources

Resources that provide Oracle Data Enterprise Management demo insights include:

Oracle Live Experience: Offers a live, interactive platform where professionals can experience features and capabilities in a real-time setting.
Oracle Cloud Free Tier: Provides access to Oracle Cloud services, including hands-on labs and trials to demonstrate data management functionalities.
Oracle Documentation: Contains comprehensive guides and walkthroughs for self-paced learning and exploration of management tools.
Oracle University Courses: Features structured courses with demo sessions for deeper insights into the data management suite.
Oracle Product Tours: Offers virtual tours that present use case scenarios to demonstrate how the management system tackles real-world data challenges.
Oracle Data Sheets: These detailed documents offer insights into product specifications and use cases, acting as a resource for understanding the application in business contexts.

FAQ

Frequently asked questions regarding Oracle Data Enterprise Management include:

Q: How does Oracle Data Enterprise Management ensure data security and compliance?
A: Oracle Data Enterprise Management employs a multi-layered approach to data security, including encryption at rest and in transit, access control based on user attributes and data sensitivity, and comprehensive activity monitoring. Additionally, it supports compliance with various regulations, including HIPAA, GDPR, and CCPA, through pre-built compliance frameworks and automation of compliance tasks. This ensures that data is always protected and compliant with relevant regulations.
Q: How does Oracle Data Enterprise Management integrate with other data platforms and tools?
A: Oracle Data Enterprise Management offers a wide range of integrations with leading data platforms and tools, including cloud data platforms (AWS, Azure, GCP), data lakes (Databricks), and BI tools (Tableau, Power BI). These integrations enable seamless data management across your entire data ecosystem, simplifying data governance and ensuring consistent protection of sensitive information.
Q: What are the benefits of using Oracle Data Enterprise Management for data governance?
A: Oracle Data Enterprise Management provides a centralized platform for data governance that allows organizations to automate data access controls, manage compliance risk, and track data lineage. This enables organizations to improve compliance, reduce data security risks, and make better data-driven decisions. Additionally, its data discovery and classification capabilities help organizations understand their data landscape and identify sensitive information.
Q: How does Oracle Data Enterprise Management handle scalability and high-performance workloads?
A: Oracle Data Enterprise Management is designed to scale with your data volume and user base. It supports petabyte-scale data deployments and high-performance workloads, ensuring consistent data security and performance even for large and complex environments. Additionally, its cloud-based architecture allows for flexible deployment and scaling as your needs evolve.
Q: What are the differences between Oracle Data Enterprise Management and other data management solutions?
A: Oracle Data Enterprise Management differs from other solutions in several key ways. It offers a comprehensive suite of data management capabilities in a single platform, including data cataloging, data quality management, data governance, and data integration. Additionally, it features pre-built compliance frameworks, advanced analytics, and machine learning integration, setting it apart from some competitors.