Can you pitch the team to use DynamoDB or Snowflake for a particular use case?

When pitching a data solution, start by outlining the business requirements: data volume, query complexity, latency, and cost. DynamoDB is a managed NoSQL key‑value store that excels at low‑latency, high‑throughput workloads with simple access patterns. It’s ideal for real‑time applications, session stores, or any use case that requires sub‑millisecond reads/writes. Snowflake, on the other hand, is a cloud data warehouse that offers columnar storage, automatic scaling, and ANSI‑SQL support. It shines for analytical workloads, complex joins, aggregations, and ad‑hoc reporting. If the use case involves heavy analytics, large data volumes, and a need for business intelligence dashboards, Snowflake is the better choice. If the primary need is real‑time, transactional access with predictable latency, DynamoDB is preferable. Highlight cost models, data freshness, and integration points (e.g., Athena, QuickSight) to make a data‑driven recommendation.