DatriseAI-first ETL

Mailerlite Apache Superset

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

How Datrise loads Mailerlite into Apache Superset

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

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

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

How Mailerlite entities map to Apache Superset

Mailerlite entityApache Superset objectNotes
recordsmailerlite_recordsid PK · custom fields → flattened columns for the explore UI
eventsmailerlite_eventstemporal columns for time-series charts events
configuration objectsmailerlite_configuration_objectsid PK · linked to mailerlite_records

FAQ

How does Datrise handle Mailerlite'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 Mailerlite to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Mailerlite to Apache Superset the easy way

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