DatriseAI-first ETL

Marketo Bulk Neon

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 records, events, and configuration 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: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Marketo Bulk entities map to Neon

Marketo Bulk entityNeon objectNotes
recordsmarketo_bulk_recordsid PK · custom fields → jsonb columns
eventsmarketo_bulk_eventstimestamptz events
configuration objectsmarketo_bulk_configuration_objectsid PK · linked to marketo_bulk_records

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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