What I like most about the product: 1) Native dbt first integration with extremely low adoption friction: As stated before, it builds directly on dbt metadata so it naturally fits into our existing workflow without requiring heavy operational overhead 2) Clear production focused observability: Between the health dashboards and summary of tests it makes understanding the data issues (or lack thereof) visible and actionable 3) Data quality visibility for non-technical users: This makes it easy for business to trust the data without having to just rely on us telling them that all tests pass; they can see with health dashboards the spread of coverage and easy to understand pass rates 4) Strong roadmap and thoughtful evolution: Despite being a dbt native tool, they are expanding observability to python workflows as well. Additionally, they have expanded upon AI assistance and additional BI tool connections that other tools have not
February 26, 2026
- cost vs value - ui navigation - alert noise
May 29, 2026