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Datawise is a schema breakage intelligence platform. It catches breaking schema changes before they reach production, and surfaces the full blast radius when they do. Data pipelines break because schemas change. A column gets renamed in a dbt model. A type changes in Snowflake. A field disappears from a source table. By the time a stakeholder notices a broken Tableau dashboard, the damage is already done. Datawise gives your team two lines of defense: Schema Guardian catches breaking changes before merge. It analyzes every GitHub pull request, identifies schema changes that would break downstream assets, and posts a detailed bot comment directly in the PR. Your team reviews the impact before the code ships. Schema Radar catches what slips through after deployment. It monitors schema changes across your warehouse, compares ingestion runs, and shows you exactly which downstream dbt models, Tableau workbooks, and Power BI reports are affected. Together, they cover the full lifecycle. Pre-merge. Post-deployment. Warehouse through dbt to BI.

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How Datawise Fits Your Stack

Datawise connects to your existing tools. You don’t replace anything. Datawise builds lineage end-to-end across this stack. When a schema change is detected, you see the full downstream impact: which dbt models depend on it, which Tableau workbooks consume those models, which Power BI reports are at risk.

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Core Concepts

Schema breakage is any change to a data asset’s structure that causes a downstream consumer to fail or produce incorrect output. This includes column removals, renames, type changes, and breaking dbt model changes. Downstream impact refers to all assets that depend on a changed asset. Datawise resolves this through lineage, tracing dependencies from the warehouse through dbt to your BI layer. Mitigation is tracked automatically. After a schema change is detected, Datawise compares subsequent ingestion runs to determine whether the breakage has been resolved. Assets are any tracked objects in your stack: warehouse tables and views, dbt models, Tableau workbooks, Power BI reports. The Datawise app has six main sections:
  • Dashboard — KPIs and trend data. PRs analyzed, breaking changes detected, schema breakages over time, most volatile assets.
  • Schema Guardian — Pre-merge detection. Review AI analysis of GitHub PRs, downstream impact, and mitigation recommendations.
  • Schema Radar — Post-deployment detection. View schema change history, breaking vs safe changes, downstream impact, and mitigation status.
  • Lineage — End-to-end lineage from warehouse through dbt to BI. Column-level lineage available on Pro and above.
  • Data Assets — Full list of tracked assets with schema change history, downstream count, and criticality.
  • Connectors — Connect and configure your data sources. View status, last run, and trigger manual syncs.
  • Settings — Manage users, roles, notifications, and billing.