Visualize and explore complex dbt projects with lineage and run insights

Visualize and explore complex dbt projects with lineage and run insights targets a $1.2B = 30,000 analytics teams × $40K ACV total addressable market with medium saturation and a year-over-year growth rate of 20% YoY — modern analytics tooling and data observability categories have been growing as dbt and ELT adoption rise (industry reports and vendor growth).

Key trends driving demand: Increasing dbt adoption — more teams standardize on dbt which creates demand for dbt-specific tooling and UX.; Shift to observability — analytics teams want lineage, test coverage and run histories surfaced to reduce risk and accelerate debugging.; Open-source + hosted hybrids — buyers prefer projects they can self-host for control and also use hosted tiers for collaboration and access control.; Developer-focused UX — analytics engineering borrows dev workflows; teams expect IDE-like explorers, history, and diffing features.; AI-assisted metadata insights — AI can accelerate SQL summarization, impact analysis and anomaly detection, making richer features feasible..