Visualize and explore dbt projects and lineage to speed debugging

Visualize and explore dbt projects and lineage to speed debugging targets a $2.0B = 100,000 analytics/data-engineering teams × $20K ACV (analytics tooling, lineage and developer productivity spend) total addressable market with medium saturation and a year-over-year growth rate of 15% YoY — estimated growth for data tooling and analytics engineering spend as dbt and cloud warehouses expand (industry analyst synthesis).

Key trends driving demand: Rising analytics engineering specialization — more companies hire dedicated analytics engineers which increases demand for tooling built for their workflows.; Shift to cloud warehouses and modular stacks — cloud-native warehouses and open metadata standards make it easier to build integrations and ship hosted features quickly.; Open-source-first adoption for platform building — teams prefer trying OSS tools locally before buying hosted versions, which speeds product-led growth.; Increased focus on lineage and reliability — regulatory and business needs push teams to invest in lineage and provenance tools to reduce incidents..