Get started with Iceberg without the brain freeze

Apache Iceberg has become a cornerstone for modern lakehouses, providing interoperable, multi-engine workflows and making data lakes production-ready by enabling features like ACID transactions, schema evolution, and time travel. However, its complexity, involving intricate concepts like manifest files, snapshot management, and catalog services, presents a steep learning curve for many organizations. Fivetran's Managed Data Lake Service offers a solution by handling the complexities of Iceberg, allowing users to benefit from its features without needing deep technical expertise. With Fivetran, data is stored in open formats, enabling seamless access across multiple Iceberg-compatible query engines like Snowflake, Trino, and BigQuery, while eliminating the need for maintaining redundant pipelines or managing infrastructure overhead. The service automates maintenance tasks such as compaction and metadata management, ensuring that the data remains consistent and queryable without manual intervention. This approach allows organizations to focus on leveraging their data across various analytical and machine learning tools without being locked into a single vendor or dealing with the operational challenges of maintaining an Iceberg environment.