Fivetran Managed Data Lake Service

Overview Fivetran Managed Data Lake Service addresses the operational overhead of maintaining a data lake — schema management, file compaction, format consistency — by automating delivery of synced data directly into open table formats. Rather than requiring a data engineering team to build and maintain custom lake-house tooling, Fivetran standardizes this into a managed service, reducing both duplication of data across systems and the infrastructure cost of running parallel warehouse and lake environments. Highlights Delivers data into open, vendor-neutral table formats including Apache Iceberg and Delta Lake, rather than a proprietary format that locks customers into a single query engine; designed to reduce data duplication that typically occurs when organizations maintain both a warehouse and a separate lake with overlapping copies of the same data; standardizes lake architecture across the organization rather than leaving format and schema decisions to individual teams; positioned as part of the same automated, zero-maintenance pipeline model as Fivetran's core connectors, meaning lake delivery doesn't require separate pipeline engineering. Supported Cloud Infrastructure Delivers into Amazon S3-based data lake storage using open table formats (Iceberg, Delta Lake); compatible with AWS-native lake query engines and accessible from the customer's AWS environment.