DatriseAI-first ETL

Streak to Metabase Integration

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

How Datrise loads Streak into Metabase

Datrise syncs Streak's pipelines, boxes, stages, email threads, contacts, and tasks 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

Streak: CRM that lives inside Gmail as pipelines and boxes.

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

How Streak entities map to Metabase

Streak entityMetabase objectNotes
pipelinesstreak_pipelinesid PK · custom fields → flattened columns for the question builder
boxesstreak_boxesid PK · linked to streak_pipelines
stagesstreak_stagesid PK · linked to streak_pipelines
email threadsstreak_email_threadsid PK · linked to streak_pipelines

FAQ

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

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

Related pipelines

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