An important aspect of data compression is the encoding, restructuring, or other modifications necessary to minimize its size. As soon as we input data into Snowflake, it is systematically compacted (compressed). Compressing and storing the data in Snowflake is achieved through modern data compression algorithms. What makes snowflake so great is that it charges customers by the size of their data after compression, not by the exact data.
Snowflake Compression has the following advantages:
- Compression lowers storage costs compared with original cloud storage.
- On-disk caches do not incur storage costs.
- In general, data sharing and cloning involve no storage expenses.
