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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Cortance 5-star rating on ClutchCortance 5-star rating on GoodFirms
Valerii Torianyk
CEO

Cortance delivered the project within schedule and according to the end client's requirements. The team had a clear workflow and was responsible, professional, and kind. They translated the end client's vision into the product and faced any challenges with patience and impressive responsiveness.

Clutch
5.0/5.0
Anonymous
Executive

After the successful prototype launch, the client tested the product in a real load and attracted new partnerships, leading to a rapid expansion. Cortance was responsive, well-organized, responsible, and helpful throughout development. Overall, they were genuinely passionate and dedicated partners.

Clutch
5.0/5.0
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