motherduck-build-dashboard

You can build a shareable analytics dashboard from live MotherDuck data by composing KPIs, trends, breakdowns, and detail tables into a single coherent narrative saved as a Dive artifact. The dashboard queries existing datasets directly to surface real-time metrics.

A Dive dashboard is a saved, shareable workspace analytics surface that presents a multi-section analytic story backed by live MotherDuck queries. You need one when a workspace analytics request requires reusable artifacts rather than a full customer-facing application.

Yes, you can create KPIs and time trends from existing DuckDB SQL datasets by confirming the active MotherDuck server schema first. The dashboard shapes visuals based on available tables, grain, and key columns to ensure accurate reporting.

The best way to structure a multi-section analytics dashboard with DuckDB is to orchestrate schema exploration, live querying, and Dive creation sequentially. This approach ensures the dashboard respects DuckDB SQL syntax guidance while producing a single narrative artifact.

Yes, you need an active MotherDuck server to build a KPI dashboard because the process starts by confirming the server is active and discovering the real schema. Live queries depend on accessing existing tables, grain, and key columns directly from the workspace.

MotherDuck dashboard queries can fail during visual creation if the DuckDB SQL syntax is incorrect or the schema is not properly discovered. The process addresses this by using syntax verification and confirming available tables and key columns before shaping the dashboard visuals.