Appfollow to Azure Synapse Integration
AI-first ETL from Appfollow into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Appfollow into Azure Synapse
Datrise syncs Appfollow's reviews, ratings, app rankings, keywords, replies, and store listings into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
Appfollow: App store review and rankings monitoring.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Appfollow entities map to Azure Synapse
| Appfollow entity | Azure Synapse object | Notes |
|---|---|---|
| reviews | appfollow_reviews | id PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the Appfollow to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
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