The industry is witnessing a shift towards open table formats, which are transforming traditional data lakes into data lakehouses by providing ACID compliance, schema evolution, and data versioning capabilities. Open table formats such as Delta Lake and Apache Iceberg offer robust transactional support and performance enhancements, but differ in key areas, with Delta Lake being optimized for Databricks and Spark, while Apache Iceberg has a broader query service ecosystem support through dedicated query platforms like Trino, Presto, and Flink. Despite growing adoption, the industry remains uncertain about which format will emerge as a leader, posing risks such as interoperability concerns, future-proofing data architectures, and operational complexity for teams that invest heavily in a single format. However, solutions like the Fivetran Managed Data Lake Service offer a way to enjoy the benefits of open table formats without adding unnecessary complexity, by supporting multiple query engines, providing optionality, and simplifying data integration.