You must provide low-maintenance, SQL-accessible analytics for very large result sets (>10 TB) and store query results for further analysis. Which solution is most cost-effective and scalable?

BigQuery is a fully managed, serverless data warehouse designed for petabyte-scale analytics, making it ideal for very large result sets (10 TB). Its columnar storage and distributed query engine provide high performance and scalability without requiring manual infrastructure management, thus offering low maintenance. Setting output destinations for caching large queries further optimizes performance and cost for repeated analyses. Cloud SQL is a relational database not optimized for petabyte-scale analytics. A MySQL cluster on Compute Engine requires significant management overhead and doesn't scale as efficiently or cost-effectively for this data volume. Cloud Spanner is a globally distributed relational database, but it's designed for transactional workloads requiring strong consistency and high availability, not primarily for cost-effective, petabyte-scale analytical queries.