DatriseAI-first ETL

Timely to Apache Superset Integration

AI-first ETL from Timely into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Timely into Apache Superset

Datrise syncs Timely's time entries, projects, clients, users, tags, and billable hours into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Timely: Automatic time tracking for teams and projects.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Timely entities map to Apache Superset

Timely entityApache Superset objectNotes
time entriestimely_time_entriesid PK · custom fields → flattened columns for the explore UI
projectstimely_projectsid PK · linked to timely_time_entries
clientstimely_clientsid PK · linked to timely_time_entries
userstimely_usersid PK · linked to timely_time_entries

FAQ

How does Datrise handle Timely's custom fields in Apache Superset?

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

How does the Timely to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Timely to Apache Superset the easy way

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