DatriseAI-first ETL

Toggl to PostgreSQL Integration

AI-first ETL from Toggl into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Toggl into PostgreSQL

Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Toggl: Time tracking with projects, clients, and reports.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Toggl entities map to PostgreSQL

Toggl entityPostgreSQL objectNotes
time entriestoggl_time_entriesid PK · custom fields → jsonb columns
projectstoggl_projectsid PK · linked to toggl_time_entries
clientstoggl_clientsid PK · linked to toggl_time_entries
workspacestoggl_workspacesid PK · linked to toggl_time_entries

FAQ

How does Datrise handle Toggl's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the Toggl to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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