Data Observability for your data stack with Snowflake

Snowflake tells you when something breaks. It does not tell you what actually matters.

When freshness issues, schema drift, or slow queries happen, the real questions begin.
Who is impacted? Which dashboards or models are affected? Can this data still be trusted for decision-making?

This is where data trust breaks down.

Sifflet closes that gap.

Sifflet adds a decision layer on top of Snowflake, connecting data quality signals to business context so you can understand impact, prioritize what matters, and act faster.

With Sifflet, you can:

• See how issues propagate from source to dashboards with end-to-end lineage
• Identify who is using affected data and for what purpose
• Route incidents to the right teams with full context
• Prioritize issues based on business impact, not just technical alerts

The result is less alert fatigue, faster triage, and more confident decisions.

Download the one-pager to see how Sifflet extends Snowflake with business-aware observability and end-to-end visibility across your entire data stack.

‍

👉 Download Now –