For setting up a real-time analytics solution in GCP to process high-velocity, high-volume event data and compute aggregations, which services should you utilize for scalability and cost-effectiveness?

*Cloud Pub/Sub and Dataflow are the ideal services for a scalable and cost-effective real-time analytics solution in GCP, especially for processing high-velocity, high-volume event data and computing aggregations. Cloud Pub/Sub excels in event ingestion, providing a scalable and reliable platform for managing high-volume data streams from various sources. Dataflow complements Cloud Pub/Sub by enabling efficient real-time processing of the ingested data. This combination effectively meets the requirements of high-velocity and high-volume event data processing, offering both scalability and cost-efficiency. Other options like Cloud Spanner, BigQuery, or Cloud SQL are either not tailored for real-time event processing or may not offer the same level of cost-effectiveness and scalability for this specific use case.*