Teradata, Fivetran Partner to Enhance Data Pipelines for AI

Teradata announced a new partnership with Fivetran, a SaaS-based cloud service that automates the creation and management of data pipelines. The partnership will enable companies to automate and simplify data integration by moving data from hundreds of sources across the enterprise into the Teradata Vantage platform. This seamless integration and centralized management will enable companies to harness all their data for complex AI workloads and run trusted AI at scale.

Fivetran provides the leading, fully managed, end-to-end data movement platform that enables real-time analytics, AI and personalized customer experiences for thousands of global customers. Together with Teradata, we drive business transformation for our joint customers by accelerating insights, optimizing operations and powering AI and data-driven decision making through the following core components:

Automated Data Integration: The demand for automated data integration solutions is growing rapidly. As businesses deal with growing data volumes and complexity, tools like Fivetran simplify the ETL (extract, transform, load) process, making it more efficient and scalable.

Real-time Data Synchronization: Businesses are increasingly looking for real-time data synchronization to ensure timely insights and decision-making. Fivetran’s real-time and efficient data synchronization capabilities address this need by enabling data synchronization from various sources into Teradata.

Democratize Data: One of the key goals of a modern data stack is to make data accessible to a broad range of users, including analysts and business users. Integration simplifies data management, allowing users to focus on data analysis and insights rather than data engineering.

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について Fivetran integration makes it easy for data engineers to transfer data into Teradata from 700+ sources, including:

SaaS applications (Salesforce, HubSpot, etc.)

Database (MySQL, PostgreSQL, Oracle, etc.)

ERP systems (SAP, NetSuite, etc.)

Files (CSV, JSON, etc.)

Event streams (e.g. Kafka)

With this wide range of connectors, data engineers can integrate and transform data from various sources into テラデータ to build a comprehensive data platform that allows analysts to access and query the data alongside data from all other business applications.

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