Teradata

Founded by Michael Braun in 1979

Store, analyze, and act on enterprise data using AI agents at scale

Cost

Demo

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★ Mixed Reviews

Time to value

Requires Expertise

You can use Teradata to connect large volumes of enterprise data across cloud and on-premises environments and run AI-driven analytics on it. It lets you build and deploy AI agents that automate decisions and embed them into business workflows. You can manage multi-agent systems, create knowledge context from multi-modal data, and govern AI operations. It's designed for large organizations in regulated industries like banking, healthcare, and logistics that need to run analytics at scale with strict security and compliance requirements.

What Teradata does

Connect enterprise data sources into a unified knowledge base for AI queriesDeploy AI agents that make and execute decisions without human interventionScale analytics workloads elastically across cloud infrastructureMonitor and govern AI agent operations across the organizationBuild and train AI models using integrated AI Studio environmentRun SQL and analytical queries across petabyte-scale data warehousesSet up access controls and security policies across multi-cloud data environmentsGenerate business outcome reports tied to measurable KPIs from AI-driven actionsDeploy prebuilt or custom AI agents that automate business decisions in real timeConnect and query multi-modal data across cloud and on-premises environmentsManage and govern multi-agent AI systems at enterprise scaleBuild a unified knowledge layer from diverse enterprise data sources for AI contextRun workloads on private on-premises infrastructure with Factory deploymentUse AI Studio to build, activate, and manage AI models in one environmentElastic cloud warehousing that scales up and down automaticallyFabric layer provides unified data access regardless of where data lives