DatriseAI-first ETL

MailerLite to Databricks SQL Warehouse Integration

AI-first ETL from MailerLite into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads MailerLite into Databricks SQL Warehouse

Datrise syncs MailerLite's subscribers, groups, campaigns, automations, email events, and forms into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

MailerLite: Email campaigns, automations, and landing pages.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How MailerLite entities map to Databricks SQL Warehouse

MailerLite entityDatabricks SQL Warehouse objectNotes
subscribersmailerlite_subscribersid PK · custom fields → VARIANT or STRUCT columns
groupsmailerlite_groupsid PK · linked to mailerlite_subscribers
campaignsmailerlite_campaignsid PK · linked to mailerlite_subscribers
automationsmailerlite_automationsid PK · linked to mailerlite_subscribers

FAQ

How does Datrise handle MailerLite's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the MailerLite to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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