Cloud Marketecture
Teradata Cloud

Activate your enterprise intelligence with Teradata Cloud

Run enterprise analytics and AI on a governed cloud platform built for performance, flexibility, and cost control. The right compute for every workload.

  • 85%

    of organizations say managing cloud costs is a top challenge

    Flexera

  • 29%

    of IaaS and PaaS cloud spend is estimated to be wasted

    Flexera

  • 29.4%

    cite idle GPU time as a source of AI waste

    IDC research published by Google Cloud

What it is

Teradata Cloud for always-on intelligence and on-demand innovation

Run continuous, production-grade AI and analytics without compromise. Teradata Cloud—the cloud deployment of the Teradata Autonomous Knowledge Platform—runs always-on active compute and on-demand elastic compute in a single managed 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 across AWS, Microsoft Azure, and Google Cloud, 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

Unify data management, analytics, machine learning, and agentic AI execution through Teradata AI Studio and Teradata Fabric. Ground your autonomous AI agents (Tera and Tera Agents) in enterprise context with built-in governance, data lineage, vector search, and open table format support.

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Innovate faster

Reduce friction across teams with integrated workflows that streamline experimentation and production.

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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.

Active Compute + Elastic Compute

One data foundation. The right compute for every workload.

Enterprise workloads have different performance, availability, and scaling requirements. Teradata Cloud combines active compute for sustained, predictable workloads with elastic compute for variable, on-demand workloads—enabling organizations to align compute capacity with workload needs.

Active Compute

Always on. Always ready.

Designed for sustained, mission-critical workloads requiring consistent availability and predictable performance. 

Ideal for:

  • Mission-critical analytics and reporting  
  • SLA-bound applications  
  • Continuous operational workloads  
  • Customer-facing queries  
  • Always-on AI and agentic workflows  

Elastic Compute

On demand. Scale with precision.

Provides focused, on-demand compute capacity that scales in granular increments within configured limits. Workload isolation enables organizations to run variable analytics, AI, and data engineering workloads without competing with critical production services. 

Ideal for:

  • ETL and data engineering pipelines  
  • AI and machine learning experimentation  
  • Ad hoc analytics and exploration  
  • Seasonal and unpredictable demand 
  • Developing and testing 
  • Reporting offload and batch workloads 
Learn more

Scale the workload, not the entire environment.

With Teradata Cloud, organizations can match compute resources to workload demand, isolate variable workloads, and improve control over performance and consumption—without requiring wholesale re-platforming. 

Frequently asked questions

Teradata Cloud FAQs

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.

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.

Elastic compute is on-demand compute for training, experimentation, and burst workloads.

It operates directly on Iceberg and Delta tables in object storage.

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.

Elastic-only platforms (such as Snowflake, Databricks, or Google BigQuery) treat every query as a burst workload. While effective for ad-hoc experimentation, this approach introduces performance variability into continuous operational processes.

Teradata Cloud runs active compute alongside elastic compute in one governed system. Continuous production workloads benefit from predictable infrastructure, while experimental tasks scale dynamically on demand.

For an in-depth workload breakdown across cloud platforms, explore the full workload comparison.

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.

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