Glassfrog to GoodData Integration
AI-first ETL from Glassfrog into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Glassfrog into GoodData
Datrise syncs Glassfrog's circles, roles, people, accountabilities, projects, and governance records into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Glassfrog: Holacracy roles, circles, and governance records.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Glassfrog entities map to GoodData
| Glassfrog entity | GoodData object | Notes |
|---|---|---|
| circles | glassfrog_circles | id PK · custom fields → flattened columns |
| roles | glassfrog_roles | id PK · linked to glassfrog_circles |
| people | glassfrog_people | id PK · linked to glassfrog_circles |
| accountabilities | glassfrog_accountabilities | id PK · linked to glassfrog_circles |
FAQ
How does Datrise handle Glassfrog's custom fields in GoodData?
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 GoodData types.
How does the Glassfrog to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect Glassfrog to GoodData the easy way
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