Aha to GoodData Integration
AI-first ETL from Aha into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Aha into GoodData
Datrise syncs Aha's features, releases, initiatives, ideas, goals, and epics 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
Aha: Product roadmapping and release planning.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Aha entities map to GoodData
| Aha entity | GoodData object | Notes |
|---|---|---|
| features | aha_features | id PK · custom fields → flattened columns |
| releases | aha_releases | id PK · linked to aha_features |
| initiatives | aha_initiatives | id PK · linked to aha_features |
| ideas | aha_ideas | id PK · linked to aha_features |
FAQ
How does Datrise handle Aha'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 Aha to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Aha
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