DatriseAI-first ETL

Gridly to MicroStrategy Integration

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

How Datrise loads Gridly into MicroStrategy

Datrise syncs Gridly's grids, records, columns, languages, views, and translation statuses 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

Gridly: Localization and content grids for games and apps.

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

How Gridly entities map to MicroStrategy

Gridly entityMicroStrategy objectNotes
gridsgridly_gridsid PK · custom fields → flattened columns
recordsgridly_recordsid PK · linked to gridly_grids
columnsgridly_columnsid PK · linked to gridly_grids
languagesgridly_languagesid PK · linked to gridly_grids

FAQ

How does Datrise handle Gridly'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 Gridly to MicroStrategy sync stay up to date?

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

Related pipelines

Early access

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