Data virtualization software is used by teams to facilitate agile data storage, retrieval, and integration processes through the use of virtual data layers.
To qualify for inclusion in the Data Virtualization category, a product must:
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The SAP HANA® platform helps you reimagine business by combining a robust database with services for creating innovative applications. It enables real-time business by converging trans-actions and analytics on one in-memory platform. Running on premise or in the cloud, SAP HANA untangles IT complexity, bringing huge savings in data management and empowering decision makers everywhere with new insight and predictive power.
Combines open source Hadoop and Spark to cost-effectively analyze and manage big data Combines Hadoop and Spark Integrates Hadoop and Spark for fast processing of any type of data at scale. Improves ROI Provides data management and analytical tools to enhance Hadoop capabilities. Helps improve your ROI, whether in the cloud or on-premises. Scalable and adaptible Helps integrate Hadoop as part of a hybrid architecture that supports multiple data types and technologies. Provides the scalability and adaptability you need for big data analytics. Open source support Built on IBM Open Platform, which provides complete open source distribution of Apache ecosystem components. Enhances your ecosystem Provides deployment options and an extended portfolio of capabilities to help you make the most of Hadoop.
Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as single source, delivering the needed data in the required form at the right time to any application or user.