Appfollow to Chartio Integration
AI-first ETL from Appfollow into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Appfollow into Chartio
Datrise syncs Appfollow's reviews, ratings, app rankings, keywords, replies, and store listings into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Appfollow: App store review and rankings monitoring.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Appfollow entities map to Chartio
| Appfollow entity | Chartio object | Notes |
|---|---|---|
| reviews | appfollow_reviews | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Appfollow to Chartio 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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