aid: teradata name: Teradata description: Teradata provides enterprise analytics and data management solutions. The Teradata VantageCloud platform delivers connected multi-cloud data analytics with capabilities for data warehousing, advanced analytics, and machine learning at scale. Teradata offers REST APIs for managing QueryGrid data fabric connections, running SQL queries, and administering platform resources. type: Index image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg tags: - Analytics - Cloud - Data Management - Data Warehousing - Database - Enterprise - Machine Learning - SQL - Fortune 1000 url: https://www.teradata.com created: '2026-04-18' modified: '2026-05-19' specificationVersion: '0.19' position: Consumer access: 3rd-Party apis: - aid: teradata:querygrid-manager-api name: Teradata QueryGrid Manager API description: REST API for centralized administration and monitoring of Teradata QueryGrid, the data fabric that enables seamless cross-system analytics. Manage data centers, systems, bridges, connectors, links, fabrics, networks, and node configurations. Perform diagnostic checks, software installations, and query monitoring across connected systems. humanURL: https://github.com/Teradata/querygrid-apidocs baseURL: https://querygrid.teradata.com/api/v1 tags: - Configuration - Data Fabric - Diagnostics - Monitoring - QueryGrid properties: - type: Documentation url: https://github.com/Teradata/querygrid-apidocs - type: OpenAPI url: openapi/teradata-querygrid-manager-api.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-api-info.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-configuration.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-issues.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-managers.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-nodes.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-operations.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-queries.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-software.yaml - type: NaftikoCapability url: capabilities/querygrid-manager-users.yaml - aid: teradata:query-service-api name: Teradata Query Service API description: REST API for executing SQL queries against Teradata Vantage systems. Provides HTTP-based access to run queries, retrieve results, and manage sessions for application integration and browser-based query tools. humanURL: https://docs.teradata.com baseURL: https://vantage.teradata.com/api/query/v1 tags: - Query - REST - SQL - Vantage properties: - type: Documentation url: https://docs.teradata.com - type: OpenAPI url: openapi/teradata-query-service-api.yaml - type: NaftikoCapability url: capabilities/query-service-queries.yaml - type: NaftikoCapability url: capabilities/query-service-sessions.yaml - type: NaftikoCapability url: capabilities/query-service-systems.yaml common: - type: PostmanWorkspace url: https://www.postman.com/kinlaneapi/teradata/overview - type: ArazzoWorkflows url: arazzo/ workflows: - url: arazzo/teradata-auto-install-node-software-workflow.yml name: Teradata Auto-Install Node Software summary: Pick a software version, trigger an automated node install, then verify the nodes. - url: arazzo/teradata-build-data-fabric-workflow.yml name: Teradata Build a Data Fabric summary: Create a data fabric, attach a network, and apply a communication policy. - url: arazzo/teradata-cancel-running-query-workflow.yml name: Teradata Cancel a Running Query summary: Submit a query, check whether it is still running, and cancel it if so. - url: arazzo/teradata-import-and-verify-system-workflow.yml name: Teradata Import and Verify a Remote System summary: Import a system from a remote QueryGrid manager, confirm it landed, and diagnose its connectivity. - url: arazzo/teradata-poll-query-results-workflow.yml name: Teradata Submit Query and Poll for Results summary: Submit a SQL query, poll its status until it completes, then branch on success or failure. - url: arazzo/teradata-provision-cross-system-link-workflow.yml name: Teradata Provision a Cross-System Link summary: Register a system, create a connector for it, then link it into a fabric. - url: arazzo/teradata-register-system-in-datacenter-workflow.yml name: Teradata Register a System in a New Data Center summary: Create a data center, register a system inside it, then bridge it to an existing system. - url: arazzo/teradata-review-environment-health-workflow.yml name: Teradata Review QueryGrid Environment Health summary: Confirm the manager API is running, list open issues, and branch to inspect managers when issues exist. - url: arazzo/teradata-run-connectivity-diagnostic-workflow.yml name: Teradata Run a Connectivity Diagnostic summary: List configured systems, run a connectivity diagnostic, then branch on the result. - url: arazzo/teradata-run-query-session-workflow.yml name: Teradata Run Query in a Session summary: Pick an available Vantage system, open a session, run a SQL query, and close the session. - url: arazzo/teradata-session-lifecycle-workflow.yml name: Teradata Session Lifecycle summary: Create a query session, verify it is active, then close it. - type: LinkedIn url: https://www.linkedin.com/company/teradata - type: Portal url: https://developer.teradata.com - type: Documentation url: https://docs.teradata.com - type: GettingStarted url: https://quickstarts.teradata.com - type: GitHubOrganization url: https://github.com/Teradata - type: Support url: https://support.teradata.com - type: Blog url: https://www.teradata.com/blog - type: Training url: https://www.teradata.com/University - type: TermsOfService url: https://www.teradata.com/Legal/Terms-of-Use - type: PrivacyPolicy url: https://www.teradata.com/Legal/Privacy - type: SDK url: https://pypi.org/project/teradatasql/ title: Python SQL Driver - type: SDK url: https://www.npmjs.com/package/teradatasql title: Node.js SQL Driver - type: SDK url: https://github.com/Teradata/r-driver title: R SQL Driver - type: SDK url: https://github.com/Teradata/teradatarustapi title: Rust API - type: SDK url: https://github.com/Teradata/gosql-driver title: Go SQL Driver - type: SDK url: https://github.com/Teradata/jdbc-driver title: JDBC Driver - type: CLI url: https://github.com/Teradata/teradata-vscode-sql-extension title: VS Code SQL Extension - type: Tools url: https://github.com/Teradata/teradata-mcp-server title: MCP Server - type: Tools url: https://github.com/Teradata/teradata-qg-mcp-server title: QueryGrid MCP Server - type: Integrations data: - name: dbt description: dbt adapter for Teradata Vantage enabling data transformations using dbt workflows. - name: Apache Airflow description: Airflow provider for orchestrating Teradata data pipeline workflows. - name: Dagster description: Dagster integration for Teradata data orchestration and observability. - name: Airbyte description: Airbyte connector for ELT data pipelines to and from Teradata. - name: Fivetran description: Fivetran destination connector for automated data loading into Teradata. - name: MuleSoft description: MuleSoft connector for integrating Teradata with enterprise application networks. - name: Dataiku description: Dataiku plugin for running analytics within the Teradata Vantage environment. - name: LangChain description: LangChain integration for using Teradata as a vector store and data source in AI applications. - name: Apache Iceberg description: Teradata support for Apache Iceberg open table format for lakehouse analytics. - type: Features data: - name: VantageCloud description: Cloud-native analytics platform available on AWS, Azure, and Google Cloud. - name: ClearScape Analytics description: Advanced analytics engine with machine learning, graph analytics, and AI capabilities built into Vantage. - name: QueryGrid description: Data fabric for multi-system analytics enabling queries across Teradata, Hadoop, Spark, and cloud object storage. - name: ModelOps description: Model lifecycle management for deploying, monitoring, and governing machine learning models. - name: AI Unlimited description: On-demand AI and ML engine for exploratory analytics without infrastructure management. - name: Open Table Formats description: Support for Apache Iceberg and open table formats for lakehouse analytics. - type: UseCases data: - name: Enterprise Data Warehousing description: Centralized data warehousing with petabyte-scale analytics for enterprise reporting and BI. - name: Advanced Analytics description: In-database machine learning, statistical analysis, and predictive modeling at scale. - name: Multi-Cloud Analytics description: Connected analytics across AWS, Azure, and Google Cloud with data fabric integration. - name: AI and ML Operations description: End-to-end machine learning model lifecycle management with ModelOps. - name: Real-Time Data Integration description: Real-time data ingestion and analytics with QueryGrid cross-system query federation. - type: SpectralRules url: rules/teradata-spectral-rules.yml - type: Vocabulary url: vocabulary/teradata-vocabulary.yaml - type: Integrations url: https://www.teradata.com/partners - name: MCP Server url: https://github.com/Teradata/teradata-mcp-server type: MCPServer - type: LLMsTxt url: https://docs.teradata.com/llms.txt integrations: - name: Partner with us today maintainers: - FN: Kin Lane email: kin@apievangelist.com