DatriseAI-first ETL

Everhour to Supabase Integration

AI-first ETL from Everhour into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Everhour into Supabase

Datrise syncs Everhour's time entries, projects, tasks, users, clients, and budgets into Supabase as a typed table per source entity in your Supabase Postgres. 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 for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Everhour: Time tracking and budgets for project teams.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Everhour entities map to Supabase

Everhour entitySupabase objectNotes
time entrieseverhour_time_entriesid PK · custom fields → jsonb columns
projectseverhour_projectsid PK · linked to everhour_time_entries
taskseverhour_tasksid PK · linked to everhour_time_entries
userseverhour_usersid PK · linked to everhour_time_entries

FAQ

How does Datrise handle Everhour's custom fields in Supabase?

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 Supabase types.

How does the Everhour to Supabase 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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