Microsoft MDS and Oracle Data Relationship Management compete in managing data governance and integration strategies. Oracle Data Relationship Management has the upper hand due to its comprehensive features, despite Microsoft MDS providing competitive pricing.
Features: Microsoft MDS integrates seamlessly into Microsoft ecosystems, leveraging SQL Server for effective data management. Features include mapping tools, strong access control, and compatibility with ETL tools like SSIS. Oracle Data Relationship Management offers sophisticated data hierarchies, robust validation mechanisms, and integration with Oracle products, facilitating comprehensive data governance.
Room for Improvement: Microsoft MDS could enhance its functionality with better integration with non-Microsoft tools, improved user interfaces, and expanded analytics capabilities. Oracle Data Relationship Management could improve by simplifying its deployment processes, decreasing initial costs, and enhancing support for non-Oracle environments.
Ease of Deployment and Customer Service: Microsoft MDS provides smooth deployment within SQL Server environments, benefiting organizations within the Microsoft infrastructure. Oracle Data Relationship Management offers versatile deployment options alongside professional services, supporting complex data landscapes with extensive documentation.
Pricing and ROI: Microsoft MDS offers cost-effective licensing, especially advantageous for SQL Server Enterprise Edition users, suggesting a positive ROI. Oracle Data Relationship Management, though pricier initially, offers feature-rich capabilities that deliver long-term strategic benefits, potentially offsetting initial expenses.
| Product | Market Share (%) |
|---|---|
| Microsoft MDS | 12.9% |
| Oracle Data Relationship Management | 3.7% |
| Other | 83.4% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
Microsoft Master Data Services (MDS) is an SQL server solution for master data. MDS enables users to organize and manage a business's master set of data into models while also creating rules for updating the data and control over who can edit it. In addition, the master dataset can be shared with other people in your organization through Excel.
In Master Data Services, you create a model, which is the highest level container in the structure of your master data. This model can then be used to group similar data. Within the model, there can be one or more entities that are similar to a table. Those entities contain members that are the data records. For example, your model can include commodities such as style, color, and product if you manage online product data. The color entity may contain members for various colors. Models may also have attributes that contain values that describe entity members and can be defined within the entities.
There are also attributes that contain values that help describe entities within entity members. There are two different types of attributes:
Features of Microsoft MDS
Microsoft MDS offers a variety of features that provide a central management of master data, while accommodating access to editors and other consumers of the information. These features include:
Reviews from Real Users
For those managing large quantities of master data, Microsoft MDS is a solution of choice for a number of reasons. Two of those are its ability to empower everyone to interact with the BI system as well as its integration with Azure active directory.
Satyam S., a senior software developer at a manufacturing company, notes, "Enables non-technical people to directly interact with the BI system."
An individual contributor at a pharma/biotech company writes, "One of the main features I have found useful is the integration with Azure active directory."
Oracle Data Relationship Management helps proactively manage changes in master data across operational, analytical, and enterprise performance management silos. Users may make changes in their departmental perspectives while ensuring conformance to enterprise standards. Whether processing financial or analytical information, Oracle Data Relationship Management delivers timely, accurate, and consistent master data to drive ongoing operational execution, business intelligence, and performance management.
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