Toggl to Neon Integration
AI-first ETL from Toggl into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Toggl into Neon
Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users 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
Toggl: Time tracking with projects, clients, and reports.
Neon: Serverless Postgres destination with branching and autoscaling.
How Toggl entities map to Neon
| Toggl entity | Neon object | Notes |
|---|---|---|
| time entries | toggl_time_entries | id PK · custom fields → jsonb columns |
| projects | toggl_projects | id PK · linked to toggl_time_entries |
| clients | toggl_clients | id PK · linked to toggl_time_entries |
| workspaces | toggl_workspaces | id PK · linked to toggl_time_entries |
FAQ
How does Datrise handle Toggl'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 Toggl 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 Toggl
Early access
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