Unleash to GoodData Integration
AI-first ETL from Unleash into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Unleash into GoodData
Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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
Unleash: Open-source feature flags and rollout strategies.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Unleash entities map to GoodData
| Unleash entity | GoodData object | Notes |
|---|---|---|
| feature toggles | unleash_feature_toggles | id PK · custom fields → flattened columns |
| strategies | unleash_strategies | id PK · linked to unleash_feature_toggles |
| environments | unleash_environments | id PK · linked to unleash_feature_toggles |
| projects | unleash_projects | id PK · linked to unleash_feature_toggles |
FAQ
How does Datrise handle Unleash'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 Unleash to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Unleash
Early access
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