Google BigQuery and AWS Athena are both serverless platforms designed to handle and query large data repositories, offering similar pricing models based on the amount of data processed. BigQuery, launched in 2012, is a fully managed analytics data warehouse that can handle native and external tables, while Athena, introduced in 2016, is an interactive querying service that exclusively works with data stored in Amazon S3. BigQuery is noted for its superior performance with native tables and supports User Defined Functions (UDFs) using JavaScript, providing enhanced functionality by integrating SQL with code. In contrast, Athena runs on the Hive metastore and Presto, supporting ANSI SQL and Hive QL, and although it lacks current UDF support, it allows data partitioning by any key and restricts scanned data to improve performance and reduce costs. Despite being newer and less mature than BigQuery, Athena shows promise for AWS users looking for a straightforward querying service, while BigQuery remains a robust and feature-rich option for those requiring a comprehensive data warehouse solution.