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Brief
Teradata

Teradata

Data Analytics & Cloud Data Warehousingteradata.com

Teradata Vantage unifies data across cloud and on-premises environments, enabling enterprises to run the most complex analytics workloads at petabyte scale with consistent performance and governance.

Last updated Jun 23, 2026 by ATDb automated enrichment · Connections updated Jul 16, 2026

Founded
1979
HQ
San Diego, California, United States
Connections
37

At a glance

Employees
5001-10000
Funding
N/A
Revenue
$1.7B–$1.8B annually
Stock
TDC
30integrations2competitors1corporate family1acquisitions

About

Established enterprise data warehousing leader transitioning to cloud-native analytics, competing against modern cloud data platforms

Teradata is a pioneer in enterprise data warehousing and analytics, founded in 1979 and headquartered in San Diego, California. The company provides a cloud-native analytics platform — Teradata Vantage — that allows large enterprises to run complex analytics workloads across multi-cloud, on-premises, and hybrid environments. Teradata serves some of the world's largest organizations across financial services, retail, telecommunications, healthcare, and government sectors, helping them derive actionable insights from petabyte-scale data. In the AdTech and marketing analytics ecosystem, Teradata plays a significant role as a backend data infrastructure and analytics engine. Its platform supports customer data integration, audience segmentation, campaign performance analytics, and marketing attribution at enterprise scale. Teradata's ability to handle massive concurrent workloads and complex SQL analytics makes it a preferred choice for large advertisers, agencies, and media companies that need to process and analyze high-volume customer and behavioral data. Teradata competes with cloud data warehouse players like Snowflake, Google BigQuery, Amazon Redshift, and Databricks. While newer entrants have gained momentum, Teradata differentiates through its deep enterprise relationships, workload management capabilities, and hybrid/multi-cloud flexibility. The company has been transitioning its business model from perpetual licenses to a subscription and consumption-based cloud model, reporting annual revenues in the range of $1.7–1.8 billion.

Business model

SaaS / Subscription + Consumption-based

Target market

Enterprise

What they offer

  • Teradata Vantage

    Cloud-native analytics platform supporting multi-cloud, hybrid, and on-premises deployments for enterprise-scale data analytics

  • VantageCloud Lake

    Cloud-optimized, consumption-based analytics platform built for scalability and flexibility on major cloud providers

  • VantageCloud Enterprise

    Fully managed cloud data warehouse offering for enterprises requiring dedicated infrastructure and advanced workload management

  • Teradata QueryGrid

    Data fabric technology enabling seamless query execution across multiple data sources and platforms

  • Teradata Data Mover

    Tool for moving data between Teradata systems and other platforms efficiently

  • Teradata Analytics for SAP

    Integrated analytics solution for SAP environments leveraging Teradata's data warehousing capabilities

  • Teradata AI Unlimited

    Serverless AI and ML engine enabling data scientists to run open-source analytics at scale in the cloud

Key features

Massively parallel processing (MPP) architectureMulti-cloud and hybrid deployment support (AWS, Azure, Google Cloud)Advanced workload management and query optimizationNative support for SQL, Python, R, and open-source analyticsPetabyte-scale data storage and processingBuilt-in data governance and security controlsQueryGrid for federated query across heterogeneous data sourcesConsumption-based pricing modelAI and machine learning integrationTime-series and geospatial analytics

Use cases

Marketing analytics and campaign performance measurementCustomer 360 and audience segmentationMarketing mix modeling and attributionCustomer lifetime value analysisFraud detection and risk analyticsFinancial reporting and regulatory complianceSupply chain optimizationOperational analytics at enterprise scaleReal-time personalization data infrastructureCross-channel customer journey analytics

Customer segments

Financial services and bankingRetail and e-commerceTelecommunicationsHealthcare and life sciencesGovernment and public sectorManufacturingMedia and entertainmentTravel and hospitality

Tech & specs

Technology stack

Massively Parallel Processing (MPP)SQL analytics enginePython and R integrationApache Spark compatibilityREST APIsJDBC/ODBC connectorsKubernetes-based cloud infrastructureAWS, Azure, Google Cloud native integrationsOpen Table Formats (Apache Iceberg)Machine learning and AI frameworks

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAAFedRAMPISO 27001PCI DSS

Deployment

CloudOn-premiseHybridMulti-cloud

API

Yes

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