Ploomes to Neon Integration
AI-first ETL from Ploomes into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ploomes into Neon
Datrise syncs Ploomes's contacts, companies, deals, quotes, products, and pipeline stages 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
Ploomes: CRM with quoting and product catalogs for Brazilian sales.
Neon: Serverless Postgres destination with branching and autoscaling.
How Ploomes entities map to Neon
| Ploomes entity | Neon object | Notes |
|---|---|---|
| contacts | ploomes_contacts | id PK · custom fields → jsonb columns |
| companies | ploomes_companies | id PK · linked to ploomes_contacts |
| deals | ploomes_deals | id PK · linked to ploomes_contacts |
| quotes | ploomes_quotes | id PK · linked to ploomes_contacts |
FAQ
How does Datrise handle Ploomes'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 Ploomes 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
More destinations for Ploomes
Early access
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