DatriseAI-first ETL

Timely to MicroStrategy Integration

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

How Datrise loads Timely into MicroStrategy

Datrise syncs Timely's time entries, projects, clients, users, tags, 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

Timely: Automatic time tracking for teams and projects.

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

How Timely entities map to MicroStrategy

Timely entityMicroStrategy objectNotes
time entriestimely_time_entriesid PK · custom fields → flattened columns
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 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 Timely 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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