<ul><li>Traditional tokenization is facing limitations in modern data platforms like Snowflake, leading organizations to consider column-level masking for improved security and flexibility.</li><li>Tokenization alters data at rest and requires external systems, slowing down analytics and lacking flexibility. It's suitable for specific compliance needs but may hinder general analytics.</li><li>Snowflake's column-level masking offers a cleaner alternative by dynamically changing data visibility based on user roles without permanently altering the original data.</li><li>Comparing tokenization and column-level masking in Snowflake shows that the latter provides better data usability, access control, and performance with lower maintenance and higher flexibility.</li></ul>

Why Snowflake Column-Level Masking Outshines Traditional Tokenizationi9

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