DatriseAI-first ETL

Aha to Metabase Integration

AI-first ETL from Aha into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Aha into Metabase

Datrise syncs Aha's features, releases, initiatives, ideas, goals, and epics into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Aha: Product roadmapping and release planning.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Aha entities map to Metabase

Aha entityMetabase objectNotes
featuresaha_featuresid PK · custom fields → flattened columns for the question builder
releasesaha_releasesid PK · linked to aha_features
initiativesaha_initiativesid PK · linked to aha_features
ideasaha_ideasid PK · linked to aha_features

FAQ

How does Datrise handle Aha's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the Aha to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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