DatriseAI-first ETL

Persistiq to Neon Integration

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

How Datrise loads Persistiq into Neon

Datrise syncs Persistiq's prospects, campaigns, sequences, email events, users, and dispositions 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

Persistiq: Outbound sales sequences and prospect tracking.

Neon: Serverless Postgres destination with branching and autoscaling.

How Persistiq entities map to Neon

Persistiq entityNeon objectNotes
prospectspersistiq_prospectsid PK · custom fields → jsonb columns
campaignspersistiq_campaignsid PK · linked to persistiq_prospects
sequencespersistiq_sequencesid PK · linked to persistiq_prospects
email eventspersistiq_email_eventstimestamptz events

FAQ

How does Datrise handle Persistiq'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 Persistiq 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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