Appfollow to GoodData Integration
AI-first ETL from Appfollow into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Appfollow into GoodData
Datrise syncs Appfollow's reviews, ratings, app rankings, keywords, replies, and store listings 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
Appfollow: App store review and rankings monitoring.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Appfollow entities map to GoodData
| Appfollow entity | GoodData object | Notes |
|---|---|---|
| reviews | appfollow_reviews | id PK · custom fields → flattened columns |
| ratings | appfollow_ratings | id PK · linked to appfollow_reviews |
| app rankings | appfollow_app_rankings | id PK · linked to appfollow_reviews |
| keywords | appfollow_keywords | id PK · linked to appfollow_reviews |
FAQ
How does Datrise handle Appfollow'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 Appfollow to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Appfollow
Early access
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