Snowflake stores data in acompressed columnarformat, which is optimal for analytical workloads. Columnar storage allows Snowflake to read only the relevant columns needed for query execution, improving performance significantly for aggregation and filtering operations. Compression further reduces storage consumption, enabling cost efficiency. This approach differs from row-store formats used in OLTP systems and provides better analytic processing. Snowflake automatically manages partitioning, micro-partitioning, and metadata without user intervention.
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