DatriseAI-first ETL

Retently to Metabase Integration

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

How Datrise loads Retently into Metabase

Datrise syncs Retently's surveys, responses, customers, NPS scores, campaigns, and feedback comments 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

Retently: NPS and customer satisfaction survey tracking.

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

How Retently entities map to Metabase

Retently entityMetabase objectNotes
surveysretently_surveysid PK · custom fields → flattened columns for the question builder
responsesretently_responsesid PK · linked to retently_surveys
customersretently_customersid PK · linked to retently_surveys
NPS scoresretently_nps_scoresid PK · linked to retently_surveys

FAQ

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

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

Related pipelines

Early access

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