Databricks Dashboard and Reporting tool

A Databricks dashboard connects to the SQL warehouse layer of your lakehouse and transforms Delta tables, views, and gold-layer models into interactive charts, KPIs, and self-service reports that anyone on your team can explore.

With scheduled refreshes, embedded analytics, and threshold-based alerts, it bridges the gap between data engineering and business teams—so product managers, analysts, and executives can track pipeline health, revenue metrics, and operational performance without opening a notebook.

Teams that run their analytics on the Databricks Lakehouse Platform use tools like Draxlr to surface governed, Unity Catalog–backed metrics across the organization in minutes.

Draxlr connects directly to a Databricks SQL warehouse, so you can query Delta tables and build production-ready dashboards without spinning up a separate BI platform or exporting data out of your lakehouse.

• No-code exploration — product, finance, and RevOps teams can browse tables, apply filters, and build charts on Databricks data without writing SQL or opening a notebook.
• Gold-layer dashboards — point Draxlr at your curated medallion-architecture tables and expose always-fresh, governed reports to every stakeholder.
• Compute-conscious scheduling — choose refresh windows and cadences that align with your SQL warehouse auto-stop settings, so you control Databricks compute costs while keeping dashboards current.
• Secure embedded analytics — embed Databricks-powered charts into your own product or internal portal with row-level filtering, so each viewer sees only the data they are authorized to access.
• AI-powered query generation — describe a question in plain English and let Draxlr generate optimized Databricks SQL, even if you are unfamiliar with your lakehouse schema.

Draxlr supports all major SQL databases for reporting and dashboarding and is built for SaaS teams that need a production-ready embedded analytics tool.