Modern data lakes combine structured and unstructured data with open table formats like Apache Iceberg and Delta Lake, delivering query-ready data, ACID compliance, and interoperability across tools. Fivetran automates extraction from 700+ sources and converts data into these formats while continuously managing updates, merges, and deletes. This reduces ingestion costs by 20–30% compared to warehouses, offering near-limitless scalability and efficiency. By writing in both Iceberg and Delta formats, Fivetran ensures interoperability, while catalogs like Unity and Polaris prevent data swamps. Paired with any query engine, data lakes become the core of unified analytics and AI architectures.

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