DatriseAI-first ETL

Marketo Bulk to Neon Integration

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

How Datrise loads Marketo Bulk into Neon

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects 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

Marketo Bulk: Bulk export of Marketo lead and activity history.

Neon: Serverless Postgres destination with branching and autoscaling.

How Marketo Bulk entities map to Neon

Marketo Bulk entityNeon objectNotes
leadsmarketo_bulk_leadsid PK · custom fields → jsonb columns
activitiesmarketo_bulk_activitiestimestamptz events
program membershipsmarketo_bulk_program_membershipsid PK · linked to marketo_bulk_leads
email eventsmarketo_bulk_email_eventstimestamptz events

FAQ

How does Datrise handle Marketo Bulk'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 Marketo Bulk 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

Early access

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