DatriseAI-first ETL

Front to Neon Integration

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

How Datrise loads Front into Neon

Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Front: Shared inbox for team email and messaging.

Neon: Serverless Postgres destination with branching and autoscaling.

How Front entities map to Neon

Front entityNeon objectNotes
conversationsfrontapp_conversationsid PK · custom fields → jsonb columns
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 Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the Front to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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