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Fivetran Offers its Managed Data Lake Service for Google Cloud Storage to Seamlessly Centralize and Optimize Data


Fivetran, the global leader in data movement, is releasing its Managed Data Lake Service for Google's Cloud Storage, enabling enterprises to seamlessly centralize structured and unstructured data from over 700 connectors into Google's Cloud Storage in a query-ready open table format.

By integrating directly with Cloud Storage, the service extends Fivetran’s data lake capabilities, providing a scalable, cost-optimized, and high-performance foundation for AI, analytics, and modern workloads, according to the vendors.

“AI requires vast amounts of high-quality data but getting that data into the right format at scale is a major challenge,” said George Fraser, CEO of Fivetran. “Our Managed Data Lake Service for Cloud Storage automates the entire process—moving, organizing, and optimizing data in open table formats—so businesses can focus on leveraging insights and driving innovation rather than managing infrastructure.”

By leveraging Fivetran’s more than 700 connector ecosystem, enterprises can centralize large volumes of data in Google's Cloud Storage, creating a foundation for training custom large language models (LLMs) and developing context-aware generative AI applications. This enables businesses to move from AI experimentation to deploying scalable, enterprise-ready solutions.

The Fivetran Managed Data Lake Service enables organizations to maximize the value of Cloud Storage by:

  • Lowering data ingest compute costs while accelerating data movement into Google Cloud with high-performance pipelines.
  • Automatically converting data to open table formats, including Apache Iceberg and Delta Lake, for better interoperability.
  • Natively integrating with Google Cloud’s BigQuery metastore, ensuring data in Cloud Storage is cataloged for improved governance and compliance while enabling users of Google Cloud’s BigQuery data platform to query it with the same speed, simplicity, and experience as native BigQuery tables.

“Enterprises are working with larger and more complex datasets than ever before, and they need a seamless way to centralize and prepare that data for AI and analytics,” said Yasmeen Ahmad, managing director of data analytics at Google's Cloud. “Fivetran’s Managed Data Lake Service for Cloud Storage helps businesses get their data into open table formats efficiently, so they can take full advantage of Google's Cloud’s leading AI and data analytics capabilities without the operational overhead.”

Fivetran is already onboarding Cloud Storage customers and expects this integration to improve efficiency and reduce costs for organizations deploying AI and data-driven applications.

For more information about this news, visit www.fivetran.com


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