DatriseAI-first ETL

Drift Metabase

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

How Datrise loads Drift into Metabase

Datrise syncs Drift's records, events, and configuration objects 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

Drift: SaaS or API data source for analytics and warehouse sync.

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

How Drift entities map to Metabase

Drift entityMetabase objectNotes
recordsdrift_recordsid PK · custom fields → flattened columns for the question builder
eventsdrift_eventstemporal columns for trends events
configuration objectsdrift_configuration_objectsid PK · linked to drift_records

FAQ

How does Datrise handle Drift'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 Drift to Metabase sync stay up to date?

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

Related pipelines

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