DatriseAI-first ETL

Excel File Neon

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

How Datrise loads Excel File into Neon

Datrise syncs Excel File'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

Excel File: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Excel File entities map to Neon

Excel File entityNeon objectNotes
recordsexcel_file_recordsid PK · custom fields → jsonb columns
eventsexcel_file_eventstimestamptz events
configuration objectsexcel_file_configuration_objectsid PK · linked to excel_file_records

FAQ

How does Datrise handle Excel File'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 Excel File 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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