Handling Potential Timezone Filtering Issues in Snowflake Dashboards 

In certain databases such as MySQL, timestamp literals are typically timezone-naive, meaning they are interpreted in the context of the server or application timezone. In contrast, Snowflake treats timestamp literals with timezone indicators (e.g., the Z suffix in 2025-06-29T00:00Z) as timezone-aware, defaulting to UTC. This can lead to mismatches when filtering data based on a specific local time range.

To avoid this, you can remove timezone casts and use timezone-naive comparisons by leveraging TO_TIMESTAMP_NTZ() in your filter conditions.

Example Query

SELECT
  event_id,
  event_timestamp
FROM your_table
WHERE
  event_timestamp >= TO_TIMESTAMP_NTZ('2025-06-29 00:00:00')
  AND event_timestamp <= TO_TIMESTAMP_NTZ('2025-06-29 23:59:59.999');

When to Use This Approach

Use this method when:

• Your dashboard platform enforces date filtering externally.

• You notice that day-based filters are including data from the wrong dates.

• Your source timestamps are stored in UTC or do not include timezone information.