DatriseAI-first ETL

Mailshake to Apache Superset Integration

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

How Datrise loads Mailshake into Apache Superset

Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Mailshake: Cold outreach sequences and reply tracking.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Mailshake entities map to Apache Superset

Mailshake entityApache Superset objectNotes
campaignsmailshake_campaignsid PK · custom fields → flattened columns for the explore UI
recipientsmailshake_recipientsid PK · linked to mailshake_campaigns
sequencesmailshake_sequencesid PK · linked to mailshake_campaigns
email eventsmailshake_email_eventstemporal columns for time-series charts events

FAQ

How does Datrise handle Mailshake's custom fields in Apache Superset?

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

How does the Mailshake to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Mailshake to Apache Superset the easy way

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