Read the MetaMatrix Enterprise Data Services Platform datasheet (PDF)
MetaMatrix Enterprise Data Services Platform helps corporations and government agencies overcome a key application development challenge — efficiently bridging the gap between diverse existing enterprise data sources and the new forms of data required by new projects, applications, and architectures. Challenges include providing access to data from disparate sources, resolving semantic differences between sources and consumers of data, and providing performance that meets service-level agreements. With MetaMatrix Enterprise Data Services Platform, developers and architects create, deploy, and manage data services that access, transform, integrate, and aggregate data to provide the information needed by applications while hiding the complex details of underlying physical data sources. This enables application teams to reduce development effort and streamline project time frames and budgets.
MetaMatrix Enterprise Data Services Platform is simply a better way to work with data across diverse systems. It provides tools for creating data services accessible through JDBC, ODBC or web service protocols, a repository for storing data service definitions with relevant metadata, and a robust execution environment that provides enterprise-class performance, data integrity, and security. Key Components include:
- MetaMatrix Enterprise Designer: Eclipse-based design tool for creating and testing data services.
- MetaMatrix Enterprise Server: Server-based runtime environment that executes data services and provides optimization, caching, and security.
- MetaMatrix Repository: Multi-user metadata management system that incorporates a rich metadata repository and support for sharing metadata across a project team or across the enterprise.
- MetaMatrix Console: Client application that enables administration of the various components, including configuration of hosts, processes, and services; system monitoring and logging; configuration of security; and other administrative tasks.
Features and Benefits
- Reduce time and cost of software development, integration and maintenance time by quickly bridging the gap between the data you have and the data you need.
- Quickly create data services to address a range of data requirements for one project, across several projects, or throughout the enterprise.
- Decouple applications from physical data sources to ease development and maintenance.
- Bridge semantic and vocabulary gaps between existing data sources, new project data requirements, and mandated standards.
- Implement data access, transformation, integration, and aggregation without programming.
- Develop systems that provide consistent, current data in real time - with enterprise performance.
- Manage data services and related metadata for easy discovery and reuse - to take full advantage of work already done.