Mailshake to Neon Integration
AI-first ETL from Mailshake into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailshake into Neon
Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads 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
Mailshake: Cold outreach sequences and reply tracking.
Neon: Serverless Postgres destination with branching and autoscaling.
How Mailshake entities map to Neon
| Mailshake entity | Neon object | Notes |
|---|---|---|
| campaigns | mailshake_campaigns | id PK · custom fields → jsonb columns |
| recipients | mailshake_recipients | id PK · linked to mailshake_campaigns |
| sequences | mailshake_sequences | id PK · linked to mailshake_campaigns |
| email events | mailshake_email_events | timestamptz events |
FAQ
How does Datrise handle Mailshake'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 Mailshake 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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