Bigtable: A NoSQL database service optimized for large-scale, low-latency workloads. While it handles massive amounts of data, it does not support SQL queries directly, making it unsuitable for the requirement of complex SQL queries.

Dataproc: A fully-managed service for running Apache Spark and Apache Hadoop clusters. It is designed for data processing and analytics but lacks the native SQL query support needed for real-time analytics on large datasets.

BigQuery: A fully-managed, serverless data warehouse service designed for storing and querying massive datasets quickly using SQL. It supports real-time data analysis, can handle petabytes of data, and scales automatically, making it ideal for big data analytics in a cost-effective manner.

Cloud Spanner: A globally distributed, horizontally scalable database service that supports SQL. While it offers high availability and strong consistency, it is optimized for transactional workloads rather than large-scale analytics, potentially leading to higher costs for analytics use cases.