Salesflare → Neon
AI-first ETL from Salesflare into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Neon
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
Neon: Serverless Postgres destination with branching and autoscaling.
How Salesflare entities map to Neon
| Salesflare entity | Neon object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → jsonb columns |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | timestamptz events |
FAQ
How does Datrise handle Salesflare'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 Salesflare to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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