Start with the evidence
Extract relationships and formulas from SQL structure. Keep the explanation connected to the code behind it.
Provenix connects SQL lineage with a searchable ontology of tables, columns, formulas, and relationships, helping teams and partners build a shared understanding of data.
SQL contains a wealth of knowledge: where data originates, how it changes, and what goes into a metric. Too often, that knowledge stays scattered across files and inside people’s heads.
When someone joins a project, a partner needs context, a calculation changes, or a number looks wrong, people need a clear way to understand the data. We believe the code itself should be the starting point.
Provenix turns SQL into a connected view of sources, transformations, and outputs. Our focus is practical: help the people working with data see the logic behind it.
Extract relationships and formulas from SQL structure. Keep the explanation connected to the code behind it.
Bring detailed technical context into a visual experience that supports investigation and conversation.
Focus on the everyday work of understanding pipelines, reviewing calculations, and onboarding to unfamiliar data.
Provenix combines column-level lineage, formula inspection, visual exploration, and a searchable data ontology. Investigate tables and columns, inspect calculations and data types, and follow upstream sources and downstream uses.
Use this connected context to build understanding across colleagues, decision-makers, and partners. Looking ahead, we plan to extend this foundation with AI-assisted business definitions and richer semantic context as future enhancements.
Share your perspective →Tell us about your team, your SQL, and the questions you’re trying to answer.