Includes auto-scaling warehouses, optimizing Delta layout, cluster pools, right-sized spot clusters, sampling, stage-specific job clusters, AQE, efficient writes, incremental CDF, adaptive streaming.

Includes materialized views, intelligent sampling and dictionary lookups, optimized batch sizes with TTL policies, query result caching, tiered storage automation, compression tuning, and workload isolation.

Speed Snowflake by right-sizing and MCWs, exploiting result cache with stable SQL, modeling credit usage, enforcing auto-suspend, timeouts, parallelizing ETL workloads, and offloading spikes.

Reduce Athena costs by enforcing result reuse, setting workgroup limits, partition projection, compressing, right-sizing capacity, CBO, stage joins with CTAS, avoid SELECT*, and more.

Reduce Snowflake costs by throttling dashboard refreshes, leveraging 24-hour result cache with stable snapshots, scaling out via MCWs, aggressive auto-suspend, materialized views/SOS and more.