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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

APIs

Teradata QueryGrid Manager API

REST API for centralized administration and monitoring of Teradata QueryGrid, the data fabric that enables seamless cross-system analytics. Manage data centers, systems, bridges...

Teradata Query Service API

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...

Features

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.

Use Cases

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.

Semantic Vocabularies

Teradata Query Service Api Context

4 classes · 13 properties

JSON-LD

Teradata Querygrid Manager Api Context

15 classes · 23 properties

JSON-LD

API Governance Rules

Teradata API Rules

30 rules · 13 errors 13 warnings 4 info

SPECTRAL

Resources

🔗
PostmanWorkspace
PostmanWorkspace
🔗
ArazzoWorkflows
ArazzoWorkflows
🔗
LinkedIn
LinkedIn
🌐
Portal
Portal
🔗
Documentation
Documentation
🚀
GettingStarted
GettingStarted
👥
GitHubOrganization
GitHubOrganization
💬
Support
Support
📰
Blog
Blog
🎓
Training
Training
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
📦
Python SQL Driver
SDK
📦
Node.js SQL Driver
SDK
📦
R SQL Driver
SDK
📦
Rust API
SDK
📦
Go SQL Driver
SDK
📦
JDBC Driver
SDK
🔗
VS Code SQL Extension
CLI
🔧
MCP Server
Tools
🔧
QueryGrid MCP Server
Tools
🔗
SpectralRules
SpectralRules
🔗
Vocabulary
Vocabulary
🔗
MCPServer
MCPServer
🔗
LLMsTxt
LLMsTxt

Sources

Raw ↑
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]