Snowflake

What should teams avoid when adopting Snowflake in early-stage data projects?

The question is about Snowflake .

Answer:
Early Snowflake projects should avoid running large, unoptimised queries without clustering keys or materialised views, as full table scans quickly accumulate significant compute costs. Refrain from using X-Large warehouses for exploratory queries that could be executed on smaller warehouse sizes. Do not store transactional application data in Snowflake, as it is optimised for analytical workloads rather than OLTP. Avoid using Snowflake until data volumes justify its cost over PostgreSQL or BigQuery for early-stage analytics.

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