A modern data lake with Fivetran Managed Data Lake Service and Databricks Unity Catalog

Fivetran's Managed Data Lake Service is designed to address the challenges of scaling data stacks, including vendor lock-in, compliance issues, and rising costs. By adopting a universal storage layer, organizations can reduce total cost of ownership, optimize data lake scalability, and automate governance through open table formats like Delta Lake and Apache Iceberg, integrated with Databricks' Unity Catalog. This approach enables interoperability, reduces vendor lock-in, and provides access to best-of-breed tooling, while delivering benefits such as reduced ingest costs, automated schema management, and enhanced data governance.

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