This platform provides automated data lineage and observability, allowing data teams to track data flow and dependencies across their systems. By offering column-level insights and automated impact analysis, the platform helps improve data quality, accelerate troubleshooting, and ensure compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Data teams often struggle to understand the complex flow of data within their Snowflake data warehouses, leading to difficulties in troubleshooting data quality issues, onboarding new team members, and ensuring compliance with data governance policies. The lack of visibility into column-level data lineage makes it challenging to trace errors back to their source and assess the impact of schema changes.
Solution
DWH.DEV provides automated data lineage and observability specifically designed for Snowflake, enabling data teams to visualize and track data dependencies across their systems. By offering column-level lineage, including in-query and equals column lineage, the platform allows users to trace data transformations and dependencies with accuracy. The tool integrates with DBT and Looker, providing end-to-end column lineage from source to report. DWH.DEV helps data teams to quickly resolve incidents, improve data trust, and accelerate onboarding, ultimately increasing team velocity and reducing the load on data support.
Target Audience
DWH.DEV targets data engineers, data analysts, and data scientists working with Snowflake who need to understand and manage data lineage for troubleshooting, compliance, and improved data quality.
Features
- Automated column-level data lineage for Snowflake, including support for dynamic tables, streams, tasks, pipes, and policies
- In-query lineage to examine relationships within queries, highlighting CTEs, subqueries, pivots, joins, and unions
- Equals column lineage to detect dependencies occurring under conditions of equality in JOIN and WHERE clauses
- DBT and Looker integration for end-to-end column lineage
- Offline mode for uploading DDL, pipelines, and dashboards without a direct Snowflake connection
- Interactive SQL highlighting with go-to-object and functions help
- Task DAG visualization
- API for direct connection to SQL static analyzer