DatriseAI-first ETL

Front to Apache Superset Integration

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

How Datrise loads Front into Apache Superset

Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates 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

Front: Shared inbox for team email and messaging.

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

How Front entities map to Apache Superset

Front entityApache Superset objectNotes
conversationsfrontapp_conversationsid PK · custom fields → flattened columns for the explore UI
messagesfrontapp_messagesid PK · linked to frontapp_conversations
contactsfrontapp_contactsid PK · linked to frontapp_conversations
inboxesfrontapp_inboxesid PK · linked to frontapp_conversations

FAQ

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

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

Related pipelines

Early access

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