Automated data lineage upstream to downstream

Easily change dbt
Without breaking Looker

The easiest, most up-to-date way of tracking lineage across the operational database, data lake, warehouse, and BI — always updated to the latest commit.

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Data lineage that goes to the source

Traditional lineage solutions are typically limited to queries and logs, creating lag and inaccuracies.
Analyzing the source code, as the source of truth, introduces better coverage, lag, and accuracy.

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Better coverage of operational databases

Foundational provides coverage for the schemas and data transformations originating in the operational database.
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Any type of code

Any SQL, Spark and general-purpose code that impacts data, is analyzed wherever it may reside.
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Real-time automated lineage

Analyzing source code means that any new commit is immediately analyzed and communicated.
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Ready to try our
automated data lineage?

We’re creating something new

Foundational is a new way of building and managing data:
We make it easy for everyone in the organization to understand, communicate, and create code for data.

What types of frameworks and repositories do you support?

Foundational supports SQL, Python, and Scala. We specialize in analyzing common data development frameworks such as dbt, Spark, Airflow, SQLAlchemy, and many others. Ask us to learn more.

How do you integrate with git?

We provide a native GitHub integration through the GitHub App Marketplace. GitLab support is coming soon.

Do you access my data?

Foundational does not access or process any data or PII. We only access code and metadata.

Can you also analyze queries that are not in git?

Yes, Foundational can also parse warehouse logs to analyze the dependencies of notebooks, ad-hoc queries, views, and others.

How does the setup look like?

Foundational can be set up in less than an hour, by authenticating us to the relevant GitHub repositories and to any BI tools. No code changes or integration work are needed.