Automate column-level lineage across the entire data stack, in any architecture.
Eliminate manual work and partial coverage — Everywhere, All at once.
Traditional data lineage solutions rely on partial, out-of-date data such as query logs, and are therefore inaccurate and limited to SQL only. Foundational goes directly to source code and thus understands every part of the stack, from upstream applications to downstream dashboards
Automate lineage across warehouses, Airflow jobs, Spark and others
Track dependencies to upstream applications in any framework
Lineage is always updated to the latest commit
Developers typically do not understand data dependencies outside of their local project. With Foundational, any developer can see downstream and upstream dependencies across every tool and data product, eliminating unknowns when making changes that impact downstream consumers.
Foundational seamlessly integrates to your version control tool
Every pull request impacting data gets validated
Data producers and consumers can easily validate new code changes
Data catalogs and traditional lineage tools are often limited to the warehouse, as they rely on SQL-only query logs. Therefore, critical areas such as upstream applications which are dynamic in nature, are left uncovered.
Foundational fixes this gap by parsing the application source code directly, supporting every common application framework such as Python, PHP, .NET, Ruby, and many others.
You’ll be up and running in under an hour: Schedule a quick call, connect us to your code, and get unmatched insights, immediately.
Find and prevent data issues, cost deficiencies, and privacy risks. Foundational can be deployed in less than an hour.
