Difference between time travel and fail safe.

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Time travel refers to the ability to query historical data in Snowflake, while fail safe refers to the system's ability to maintain data integrity and availability in case of failures.

Time travel allows users to query data as it existed at a specific point in the past, using the TIMESTAMP parameter in queries.
Fail safe mechanisms in Snowflake ensure data integrity and availability by automatically handling system failures and maintaining multiple copies of data.
Time travel is useful for auditing, compliance, and historical analysis, while fail safe mechanisms protect against data loss and downtime.
Example: Using time travel, a user can query sales data as it existed on January 1st, 2021, to analyze performance during that period.
Example: Fail safe mechanisms in Snowflake ensure that data is always available and protected, even in the event of hardware failures or system crashes.

Difference between time travel and fail safe.

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