DatriseAI-first ETL

Gong to MicroStrategy Integration

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

How Datrise loads Gong into MicroStrategy

Datrise syncs Gong's calls, transcripts, deals, users, trackers, and call topics 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

Gong: Revenue intelligence from recorded sales calls.

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

How Gong entities map to MicroStrategy

Gong entityMicroStrategy objectNotes
callsgong_callsid PK · custom fields → flattened columns
transcriptsgong_transcriptsid PK · linked to gong_calls
dealsgong_dealsid PK · linked to gong_calls
usersgong_usersid PK · linked to gong_calls

FAQ

How does Datrise handle Gong'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 Gong 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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