Fivetran’s Managed Data Lake Service reduces total cost of ownership by covering ingestion costs while automating data movement from 700+ sources like Salesforce, SAP, Oracle, and SQL Server. Data is automatically converted into open table formats such as Iceberg and Delta Lake, ensuring interoperability and governance. The service supports Amazon S3, Azure Data Lake, Microsoft OneLake, and Google Cloud Storage, enabling flexible deployment. Native integrations with catalogs like Databricks Unity, AWS Glue, and Polaris maintain governance and prevent data silos. Data can then be queried with any compute engine, including Synapse, Redshift, Snowflake, Databricks, and PowerBI.

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