Everhour to Neon Integration
AI-first ETL from Everhour into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Everhour into Neon
Datrise syncs Everhour's time entries, projects, tasks, users, clients, and budgets 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
Everhour: Time tracking and budgets for project teams.
Neon: Serverless Postgres destination with branching and autoscaling.
How Everhour entities map to Neon
| Everhour entity | Neon object | Notes |
|---|---|---|
| time entries | everhour_time_entries | id PK · custom fields → jsonb columns |
| projects | everhour_projects | id PK · linked to everhour_time_entries |
| tasks | everhour_tasks | id PK · linked to everhour_time_entries |
| users | everhour_users | id PK · linked to everhour_time_entries |
FAQ
How does Datrise handle Everhour'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 Everhour 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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