Automatically infer table relationships across data systems to remove manual mapping

Automatically infer table relationships across data systems to remove manual mapping targets a $6.0B = 200,000 businesses × $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 20% YoY — metadata management and data governance market growth (industry analyst estimates).

Key trends driving demand: Cloud-first data stacks — consolidation of data into warehouses and lakehouses centralizes where relationships must be discovered, creating a single place to apply inference.; Rise of analytics engineering — dedicated teams expect programmatic artifacts (dbt models, lineage) which automatable relationship inference can generate.; Demand for data observability and governance — increased regulatory and compliance pressure makes lineage and trustworthy mappings a procurement priority..