You need storage for a 40 TB model that supports prediction and geospatial processing natively for ship-delay predictions. Which storage do you choose?

BigQuery is the correct choice because it is a highly scalable, fully managed, petabyte-scale data warehouse designed for analytics. It supports geospatial processing natively through BigQuery GIS and can easily handle the 40 TB model size for prediction workflows. Cloud Bigtable is a wide-column NoSQL database optimized for high throughput and low latency, not ideal for complex analytical queries or geospatial processing. Cloud Datastore (now Firestore in Datastore mode) is a NoSQL document database suitable for transactional workloads, not large-scale analytical processing. Cloud SQL for PostgreSQL is a relational database best for transactional data and smaller datasets, and would struggle with a 40 TB model and native geospatial analytics at scale.