DatriseAI-first ETL

Tempo to Holistics Integration

AI-first ETL from Tempo into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Tempo into Holistics

Datrise syncs Tempo's worklogs, accounts, projects, users, teams, and billable hours 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

Tempo: Time tracking and worklogs layered on Jira.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Tempo entities map to Holistics

Tempo entityHolistics objectNotes
worklogstempo_worklogsid PK · custom fields → flattened columns for the modeling layer
accountstempo_accountsid PK · linked to tempo_worklogs
projectstempo_projectsid PK · linked to tempo_worklogs
userstempo_usersid PK · linked to tempo_worklogs

FAQ

How does Datrise handle Tempo'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 Tempo to Holistics sync stay up to date?

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

Related pipelines

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