DatriseAI-first ETL

Mailshake to Metabase Integration

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

How Datrise loads Mailshake into Metabase

Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads 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

Mailshake: Cold outreach sequences and reply tracking.

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

How Mailshake entities map to Metabase

Mailshake entityMetabase objectNotes
campaignsmailshake_campaignsid PK · custom fields → flattened columns for the question builder
recipientsmailshake_recipientsid PK · linked to mailshake_campaigns
sequencesmailshake_sequencesid PK · linked to mailshake_campaigns
email eventsmailshake_email_eventstemporal columns for trends events

FAQ

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

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

Related pipelines

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