DatriseAI-first ETL

Tempo to MicroStrategy Integration

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

How Datrise loads Tempo into MicroStrategy

Datrise syncs Tempo's worklogs, accounts, projects, users, teams, and billable hours into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Tempo: Time tracking and worklogs layered on Jira.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Tempo entities map to MicroStrategy

Tempo entityMicroStrategy objectNotes
worklogstempo_worklogsid PK · custom fields → flattened columns
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 MicroStrategy?

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

How does the Tempo to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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