Teradata
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.
2 APIs
6 Features
AnalyticsCloudData ManagementData WarehousingDatabaseEnterpriseMachine LearningSQLFortune 1000
VantageCloud
Cloud-native analytics platform available on AWS, Azure, and Google Cloud.
ClearScape Analytics
Advanced analytics engine with machine learning, graph analytics, and AI capabilities built into Vantage.
QueryGrid
Data fabric for multi-system analytics enabling queries across Teradata, Hadoop, Spark, and cloud object storage.
ModelOps
Model lifecycle management for deploying, monitoring, and governing machine learning models.
AI Unlimited
On-demand AI and ML engine for exploratory analytics without infrastructure management.
Open Table Formats
Support for Apache Iceberg and open table formats for lakehouse analytics.
Enterprise Data Warehousing
Centralized data warehousing with petabyte-scale analytics for enterprise reporting and BI.
Advanced Analytics
In-database machine learning, statistical analysis, and predictive modeling at scale.
Multi-Cloud Analytics
Connected analytics across AWS, Azure, and Google Cloud with data fabric integration.
AI and ML Operations
End-to-end machine learning model lifecycle management with ModelOps.
Real-Time Data Integration
Real-time data ingestion and analytics with QueryGrid cross-system query federation.
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: [email protected]