DatriseAI-first ETL

Zapier Storage to Neon Integration

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

How Datrise loads Zapier Storage into Neon

Datrise syncs Zapier Storage's stored values, keys, secrets, zaps, update events, and storage buckets 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

Zapier Storage: Key-value storage used by Zapier automations.

Neon: Serverless Postgres destination with branching and autoscaling.

How Zapier Storage entities map to Neon

Zapier Storage entityNeon objectNotes
stored valueszapier_supported_storage_stored_valuesid PK · custom fields → jsonb columns
keyszapier_supported_storage_keysid PK · linked to zapier_supported_storage_stored_values
secretszapier_supported_storage_secretsid PK · linked to zapier_supported_storage_stored_values
zapszapier_supported_storage_zapsid PK · linked to zapier_supported_storage_stored_values

FAQ

How does Datrise handle Zapier Storage'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 Zapier Storage 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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