Appfollow to Neon Integration
AI-first ETL from Appfollow into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Appfollow into Neon
Datrise syncs Appfollow's reviews, ratings, app rankings, keywords, replies, and store listings into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Appfollow: App store review and rankings monitoring.
Neon: Serverless Postgres destination with branching and autoscaling.
How Appfollow entities map to Neon
| Appfollow entity | Neon object | Notes |
|---|---|---|
| reviews | appfollow_reviews | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Appfollow to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
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Early access
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