Data fabric for superior data integration and delivery

Get consistent and easy access to distributed data with unified data integration and management.

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Query fabric

Eclipse the standard capabilities of data fabric by integrating more than just data. Teradata QueryGrid minimizes data movement by connecting queries and pushing processing to the data.

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Modern data stack

Easily and reliably load and transform data through modern data stack tool integrations while taking advantage of the scale and performance of Teradata VantageCloud.

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Data sharing

Leverage and share data from within your enterprise or third-party platform so business analysts, data scientists, and other decision-makers can easily access the data they need, when they need it.

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Data products

Optimize end-to-end business processes like customer lifetime value, demand-driven forecasting, and network planning by amplifying data reusability and trust within the enterprise.

High-speed parallel query fabric

Improve agility with Teradata QueryGrid

Easily access all data and analytical engines in your ecosystem to reduce costs and streamline complex business processes. QueryGrid delivers seamless, best-in-class data connectivity, processing, and movement across hybrid and multi-cloud environments.

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Seamless access

With real-time query access between processing engines, you can focus on generating insights and closing data gaps instead of worrying about data migration.

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Intelligent processing

Teradata’s workload management, advanced query optimizer, and parallel architecture automate complex processing by choosing the fastest, most efficient way to join data across multiple systems.

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Minimal data movement

Reduce egress costs across clouds with the efficiency of our Vantage Analytics Database, which only returns minimized result sets for final processing.

Connecting just got easier

We support high-quality connectors that link a data source to the query fabric, providing real-time query access between processing engines and facilitating bidirectional data movement when possible.