Datadog to MicroStrategy Integration
AI-first ETL from Datadog into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Datadog into MicroStrategy
Datrise syncs Datadog's metrics, monitors, events, logs, dashboards, and incidents 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
Datadog: Infrastructure monitoring, logs, and alerting.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Datadog entities map to MicroStrategy
| Datadog entity | MicroStrategy object | Notes |
|---|---|---|
| metrics | datadog_metrics | id PK · custom fields → flattened columns |
| monitors | datadog_monitors | id PK · linked to datadog_metrics |
| events | datadog_events | date/time dimensions events |
| logs | datadog_logs | id PK · linked to datadog_metrics |
FAQ
How does Datrise handle Datadog'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 Datadog to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
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