DatriseAI-first ETL

Harvest Metabase

AI-first ETL from Harvest into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Harvest into Metabase

Datrise syncs Harvest's time entries, projects, clients, invoices, and utilization into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Harvest: Time tracking and project profitability for services teams.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Harvest entities map to Metabase

Harvest entityMetabase objectNotes
time entriesharvest_time_entriesid PK · custom fields → flattened columns for the question builder
projectsharvest_projectsid PK · linked to harvest_time_entries
clientsharvest_clientsid PK · linked to harvest_time_entries
invoicesharvest_invoicesid PK · linked to harvest_time_entries

FAQ

How does Datrise handle Harvest's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the Harvest to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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