Everhour to Holistics Integration
AI-first ETL from Everhour into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Everhour into Holistics
Datrise syncs Everhour's time entries, projects, tasks, users, clients, and budgets into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Everhour: Time tracking and budgets for project teams.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Everhour entities map to Holistics
| Everhour entity | Holistics object | Notes |
|---|---|---|
| time entries | everhour_time_entries | id PK · custom fields → flattened columns for the modeling layer |
| projects | everhour_projects | id PK · linked to everhour_time_entries |
| tasks | everhour_tasks | id PK · linked to everhour_time_entries |
| users | everhour_users | id PK · linked to everhour_time_entries |
FAQ
How does Datrise handle Everhour's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Everhour to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
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