Teradata Workspaces hub connected to AI and developer tools including ChatGPT, Gemini, Claude, and Jupyter
workspaces Workspaces

Flexibly build with your choice of interfaces from copilots to AI code editors

Interact with Teradata your way, including exploring insights in chat, building developer tools and notebooks, and powering applications through APIs.

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Tera AI
AI workspaces
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Tera

Transform how teams interact with data and AI agents through an autonomous AI-powered workspace grounded in governed context and backed by enterprise-grade agent execution.

  • Data analysis grounded in your context
  • Coding assistance to generate, optimize, and deploy code using knowledge of your environment
  • Autonomously run agent teams to accomplish a goal
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External AI chatbots

Access enterprise data from external AI chat tools. Use Claude, Gemini, ChatGPT, and Microsoft Copilot within enterprise workflows.

  • Ask questions over enterprise data using AI chat tools.
  • Run analysis on governed enterprise data.
  • Use results in notebooks, code, or applications.
AI agents autonomously connect tools, data, and services across the enterprise
Developer workspaces

Coding editors, notebooks, and CLI

Use a Teradata workspace to build analytics and AI workflows through the developer tools you already use.

  • Cursor to write and refactor AI‑assisted SQL and Python on enterprise data.
  • Create notebooks to experiment with analytics and AI on governed enterprise data.
  • UseCLI to script, automate, and run analytics and AI workflows programmatically.
Data-driven insights empower teams to make smarter, faster business decisions
Developer‑first integration across modern tools

Ship faster by reducing developer tool friction

A single, governed data and execution layer accessed consistently across IDEs, notebooks, copilots, and APIs.

Fragmented developer tools slow delivery and drive rework.

Surveys of enterprise engineering teams show that majority of developers lose between six and fifteen hours per week navigating disconnected IDEs, notebooks, AI assistants, and automation tools. Context switching and duplicated logic make it harder to move work from exploration into production. Workspaces integrates Teradata directly into the tools developers already use, enabling teams to write, test, and operationalize consistent logic across chat, code editors, notebooks, and APIs using a shared, governed execution layer.

FAQ's

Teradata Workspaces FAQ

No. Workspaces provides a unified interface that connects chat, notebooks, application programming interfaces (APIs), and developer tools—so teams can work across them in one place.

Workspaces standardizes how teams interact with data and AI. It creates a consistent experience across roles and tools without forcing everyone into a single workflow or interface.

AI Studio is used to build, train, and deploy models and AI agents. Workspaces is where teams access, use, and operationalize those models and agents in day-to-day workflows.

Workspaces reduces fragmentation by ensuring teams operate on the same data, logic, and context—regardless of the tools they use—eliminating silos across analytics, AI, and application environments.

Workspaces is designed for organizations with distributed teams across analytics, AI, and application development—where multiple roles need shared access to data, models, and workflows.

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Discover what best-in-class data connectivity and analytics can do for your enterprise.

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