Field-Level Lineage
Sifflet's field-level lineage gives you the most granular view of how your data is created and consumed, allowing you to pinpoint the exact origin and destination of every field in your data warehouse.
Sifflet automatically maps these connections by either parsing your data warehouse's SQL query logs or using its native lineage metadata. This provides a complete, end-to-end map of your data's journey, which helps with the following use cases:
- ⚡️ Faster Root Cause Analysis: Identify the source of a data quality issue by tracing a problematic field back to its origin.
- ✅ Confident Impact Analysis: Before changing a column, see every downstream dashboard, report, or table that the change affects.
- 🔍 Enhanced Data Discovery: Understand how key business metrics are calculated by exploring their upstream dependencies.
Field-level lineage in Sifflet
Supported Data Warehouses
Sifflet supports automated field-level lineage for the following platforms:
- Snowflake
- BigQuery
- Redshift
- Databricks
Sifflet regularly adds support for more platforms.
Setup Instructions
To enable this feature, Sifflet needs read-only access to your SQL query history. Each platform's dedicated documentation page lists the required permissions.
Updated about 3 hours ago