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Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



Apple App Store connector details
Effortlessly capture performance metrics, analytics, and customer insights from the Apple App Store Connect API into Flow collections. The connector supports both customer review data and detailed analytics reports to help you monitor app engagement, crashes, installs, and user feedback in real time.
- Captures reviews, sessions, analytics, crashes, installs, and engagement data via the App Store Connect API
- Uses secure JWT authentication with your private App Store Connect API key (.p8 file)
- Supports multiple app IDs for comprehensive analytics across your portfolio
- Ideal for tracking user experience, app performance, and marketplace trends
- Deployment-ready: Works securely within Estuary’s Private and BYOC environments for compliance and governance
💡 Note: Admin-level permissions are required to access App Analytics data through the App Store Connect API.


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Apple App Store in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Apple App Store insights always reflect the latest data by connecting your databases to Apple App Store with change data capture.
- Or connect critical SaaS apps to Apple App Store with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |

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