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Innovate faster
Reduce friction across teams with integrated workflows that streamline experimentation and production.
What it is
Teradata Cloud for always-on intelligence and on-demand innovation
Run continuous, production‑grade AI and analytics without compromise. Teradata Cloud runs always-on active compute and on‑demand elastic compute in a single managed cloud system. Execute mission‑critical lakehouse and analytics workloads while continuously operating agentic AI—all on one governed platform.
Teradata Cloud is purpose‑built for enterprise workloads, providing predictable performance, reliability, and cost control at scale.
Built for autonomous enterprise intelligence
Reason, act, and scale across unified, agentic AI and enterprise knowledge
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Operate autonomously
Run analytics and AI with self‑managing cloud services that optimize performance, security, and cost—without manual intervention.
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Scale on-demand
Elastic, modular compute scales up or down as demand changes—without over-provisioning.
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Eliminate complexity
Reduce fragmentation and tool sprawl by consolidating core AI and analytics capabilities into one coherent experience.
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Adapt effortlessly
Run where it makes the most sense—cloud, hybrid, or edge—without forcing a one-size-fits-all architecture.
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Run mixed workloads
Support AI and analytics, lakehouse, EDW, and data engineering side-by-side on a single platform.
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Unify governance
Apply consistent identity, access, and policy controls across cloud and hybrid environments.
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Trust at scale
Put AI into production with confidence through consistent security and governance across environments.
Frequently asked questions
Teradata Cloud FAQs
What is Teradata Cloud?
What is Teradata Cloud?
Teradata Cloud is the cloud deployment of the Autonomous Knowledge Platform available in AWS, Microsoft Azure and Google Cloud. In May 2026, elastic compute was introduced, supporting both always-on workloads and elastic experimentation within a single environment.
What problems does Teradata Cloud solve?
What problems does Teradata Cloud solve?
Teradata Cloud enables organizations to run continuous analytics and AI workloads without fragmenting data, duplicating systems, or compromising governance, while still supporting innovation and experimentation at scale.
What is elastic compute?
What is elastic compute?
On-demand compute for training, experimentation, and burst workloads.
How does elastic compute work with open table formats?
How does elastic compute work with open table formats?
It operates directly on Iceberg and Delta tables in object storage.
How does Teradata balance active compute, always-on, and elastic compute?
How does Teradata balance active compute, always-on, and elastic compute?
The platform supports both active compute for always-on compute for mission-critical operations and elastic compute for experimentation and burst workloads—allowing organizations to run continuous intelligence while scaling innovation on demand.
Does data leave the on-premises environment in a hybrid deployment?
Does data leave the on-premises environment in a hybrid deployment?
No. Data remains in its original environment unless explicitly configured to move. Organizations control where data is accessed, where processing occurs, and how information is shared across cloud and on-premises systems.
Speak to the team
Discover what best-in-class data connectivity and analytics can do for your enterprise.