Teradata and Fivetran Team Up on Data Pipelines for AI

Teradata, a cloud analytics and data platform for AI, has announced a new partnership with Fivetran, a leader in data movement, to simplify data integration for customers by automating data movement from hundreds of sources across the enterprise into Teradata.

Centralizing data on the VantageCloud platform to deliver AI at scale

Teradata and Fivetran’s collaboration will leverage their data for complex AI workloads and drive trusted AI at scale by enabling data from different sources to centralize on the Teradata VantageCloud platform.

“With AI innovation accelerating at an unprecedented pace, transforming data pipelines through automation has become critical for businesses to stay competitive. By leveraging data automation, enterprises can streamline data integration, reduce errors, and enhance decision-making processes, enabling them to adapt swiftly to market changes and drive continuous improvement,” said Dan Spurling, SVP of product management at Teradata. “Teradata’s integration with Fivetran allows our joint cloud and hybrid customers to automate complex data movement at scale into our harmonized analytics and data platform, ensuring they have reliable, real-time data to power trusted AI, analytics, and strategic decision-making.”

A recent survey by Fivetran found that nearly half of enterprise AI projects fail due to poor data readiness. With Teradata and Fivetran’s integration, it will create a scalable, automated, and cost-effective way to process data from hundreds of sources using Teradata’s data environment to make data more easily accessible. This integration will ultimately lower data migration effort and cost, simplify operations, and accelerate business insights.

Core components include data synchronization and democratization

Additionally, the integration is designed to unlock innovation for joint-customers by accelerating insights, optimizing operations, and powering AI- and data-driven decisions through a number of core components, such as:

• Automated data integration: Tools like Fivetran simplify the Extract, Transform, Load (ETL) process to make data integration more efficient and scalable.
• Real-time data synchronization: Fivetran provides real-time, efficient data synchronization from various sources into Teradata, ensuring timely insights and informed decision-making.
• Data democratization: The integration simplifies data management, allowing users to focus on data analysis and insights rather than data engineering.

“Fivetran’s mission is to make access to data as simple and reliable as electricity– regardless of where it lives or where it needs to go,” said Mark Van De Wiel, field CTO at Fivetran. “With the addition of Teradata as a destination via the Partner-Build program, customers can now seamlessly move data into Teradata using the same automated, fully managed pipelines they expect from Fivetran. This expands our ecosystem and gives joint customers the ability to centralize their data for AI and analytics without added engineering overhead.”

Further, the integration allows data engineers to transfer data from more than 700 sources into Teradata, including:

• SaaS applications (e.g., Salesforce, HubSpot)
• Databases (e.g., MySQL, Oracle)
• ERP systems (e.g., SAP, NetSuite)
• Files (e.g., CSV, JSON)
• Event streams (e.g., Kafka)

Through this extensive range of connectors, data engineers are enabled to harmonize and transform data from disparate sources into Teradata, creating a holistic data platform. Analysts can access and query the data alongside all other business application data.

To operate effectively within the AI space, organizations in the channel are developing solutions to create AI tools and manage the associated data. Read more about one company’s new AI Trust Platform, launched for secure AI-native development.