What is Data Virtualization?
Data virtualization makes complex data simple – placing a business-friendly layer over your data – that makes it easier to find, understand, and use. Your users focus on data’s business value, while your data engineers take care of the rest.
Data Integration
Connect disjointed and diverse data across hybrid environments to achieve organizational goals. Solve business problems and reduce costs while boosting efficiency, productivity, innovation, and growth.
Cloud Data Migration
Reduce the time, cost, and risk of your enterprise data migration projects. Move any amount of data between any two supported systems (on-premises or the cloud) with no limits on usage while easily collaborating with consultants and others who may be involved in the project.
Data Fabric
Optimize data management and integration capabilities so you can intelligently simplify, automate, and accelerate your data pipelines. Share data assets that support all your diverse users and use cases. Easily deploy and adapt a distributed data architecture that fits your complex, ever-changing technology landscape.
Data-as-a-Service
Create an enterprise-grade data foundation that facilitates cross-silo data integration, allows ingestion from external data providers, hides complexity, and supports API security, manageability, and governance.
Virtual Data Layer
Create a virtual data layer with semantic consistency by combining your diverse, distributed data sources, on-premises or in the cloud.
Logical Data Warehouse
Turn diversity into opportunity by deploying a common analytic data management architecture across diverse data types, technologies, users, and use cases.
Data Sources & Discovery
Data Views
High-Performance Runtime
Self-service Web UI
Security
