No-code pipeline · Apple App Store → PostgreSQL

Send data from Apple App Store to PostgreSQL

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From Apple App Store to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Apple App Store to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Apple App Store to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Apple App Store data and combining it with other data in your PostgreSQL database

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Send Apple App Store Data to PostgreSQL

How to send Apple App Store data to PostgreSQL? Kondado provides a direct pipeline that replicates your App Store metrics directly into your PostgreSQL database without requiring engineering resources or complex API management. Simply connect your Apple App Store account, configure your database destination, and select which reports you want to replicate on your preferred schedule. The platform handles data normalization and schema management automatically, ensuring your subscription and download metrics arrive in a query-ready format for immediate analysis. Whether you are tracking daily subscriber growth or monitoring promotional campaign performance, your data flows continuously into PostgreSQL where you can build custom reports and combine it with other business data sources.

Kondado automatically replicates Apple App Store subscription events, download metrics, and sales data to PostgreSQL on a configurable schedule ranging from every 5 minutes to daily, enabling analysts to query app performance using standard SQL without managing API credentials or data extraction scripts.

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Once your data lands in PostgreSQL, you can analyze the Daily Downloads and Sales Report to track revenue trends across different app versions and territories, or query the Daily Detailed Subscriber Report to identify churn patterns and lifetime value metrics for your subscription business. The Daily Subscription Events Report enables you to build cohort analysis queries that track user behavior from trial conversion through renewal, while joining this App Store data with marketing spend datasets or customer support tickets in your warehouse gives you complete visibility into acquisition costs, user satisfaction, and long-term retention metrics.

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Replicated to PostgreSQL

Apple App Store data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

available pipelines

115

extractable fields

PostgreSQL

Destination

Available integrations

Daily Detailed Subscriber Report

Includes metrics such as subscriber ID, purchase date, and standard subscription duration, allowing detailed analysis of subscription performance.

Daily Summary Subscription Report

Presents information such as report date, promotional offer name, and subscriber ID, facilitating an overview of subscriptions in summary.

Daily Downloads and Sales Report

Provides data on downloads, sales, and revenue generated, allowing analysis of the commercial performance of apps.

Daily Subscription Events Report

Includes metrics such as event date, subscription ID, and proceeds reason, helping to understand user interactions with subscriptions.

See all available data → Send Apple App Store to PostgreSQL →

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How to send Apple App Store data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Apple App Store Account

Log into Kondado and select the Apple App Store data source, then authenticate with your App Store Connect credentials to establish the initial connection. The platform will verify your account permissions and display the available pipelines for your developer account.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, port, database name, and credentials to establish where your App Store data will land. You can use an existing database or create a dedicated schema to organize your mobile analytics separately from other business data.

Select Pipelines and Schedule

Choose from the four available pipelines such as Daily Downloads and Sales Report or Daily Detailed Subscriber Report, then set your preferred update frequency from every 5 minutes to daily. Kondado will begin replicating data immediately based on your schedule, delivering fresh App Store metrics to your database automatically.

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Send data from Apple App Store to other destinations

Apple App Store > Looker Studio

Apple App Store > Power BI

Other visualizations

Apple App Store > Amazon S3

Apple App Store > BigQuery

Apple App Store > Excel

Apple App Store > Google Sheets

Apple App Store > MySQL

Apple App Store > PostgreSQL

Apple App Store > Redshift

Apple App Store > SQL Server

Choose a tool to visualize your Apple App Store data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Apple App Store > Airtable

Apple App Store > Alteryx

Apple App Store > Amazon Quicksight

Apple App Store > BIMachine

Apple App Store > Cortex

Apple App Store > Data Studio

Apple App Store > Geckoboard

Apple App Store > Grafana

Apple App Store > IBM Cognos Analytics

Apple App Store > Klipfolio

Apple App Store > Looker Studio

Apple App Store > Looker

Apple App Store > Looqbox

Apple App Store > Metabase

Apple App Store > Microstrategy

Apple App Store > Pentaho

Apple App Store > Power BI

Apple App Store > Qlik Cloud Analytics

Apple App Store > Qlik Sense

Apple App Store > Qlik

Apple App Store > QlikView

Apple App Store > Redash

Apple App Store > Superset

Apple App Store > Tableau

Apple App Store > BI TOTVS

Apple App Store > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Apple App Store data to PostgreSQL automatically

How does Kondado replicate Apple App Store data to PostgreSQL? ▼

Kondado connects directly to your Apple App Store account using your App Store Connect credentials and extracts data through available pipelines. The platform then loads this information into your specified PostgreSQL database, maintaining data types and relationships while handling the technical complexity of API rate limits and pagination automatically.

What specific App Store metrics can I replicate to PostgreSQL? ▼

You can replicate four distinct pipelines including the Daily Downloads and Sales Report for revenue analysis, the Daily Detailed Subscriber Report for subscription management, and the Daily Subscription Events Report for user behavior tracking. These pipelines deliver 115 different fields covering subscriber IDs, purchase dates, promotional offers, and event proceeds directly into your database.

How often does Apple App Store data update in PostgreSQL? ▼

Kondado updates your PostgreSQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time replication ensures your analytics reflect current app performance without manual intervention or waiting for batch processing windows.

What format does App Store data arrive in within PostgreSQL? ▼

Data arrives in structured relational tables within PostgreSQL, with each pipeline creating separate tables that maintain the original field relationships from your App Store reports. The schema includes proper data types for dates, currencies, and identifiers, allowing you to run complex SQL queries immediately without additional transformation layers.

Can I combine Apple App Store data with other marketing sources in PostgreSQL? ▼

Yes, once your App Store data resides in PostgreSQL, you can join it with data from Google Ads, Facebook Marketing, or mobile analytics platforms that you also replicate using Kondado. This enables unified reporting that connects download metrics with advertising spend, customer acquisition costs, and cross-platform user behavior analysis.

Do I need to know SQL to use this Apple App Store pipeline? ▼

While SQL knowledge helps you maximize the value of your data in PostgreSQL, Kondado handles the technical replication process without requiring coding skills to set up the connection. Once data arrives, you can query it directly or connect business intelligence tools like Power BI or Looker Studio to build visualizations without writing complex database queries.

Can I send Apple App Store data to PostgreSQL and visualize it in Google Sheets? ▼

Yes, you can replicate your App Store data to PostgreSQL and then connect Google Sheets as an additional destination for the same data source. This allows you to maintain a centralized database for complex analysis while providing spreadsheet access for stakeholders who prefer working with familiar tools.

Is there a way to track App Store subscription cancellations in PostgreSQL? ▼

The Daily Subscription Events Report pipeline specifically captures cancellation events, subscription ID changes, and proceeds reasons that help you understand why users churn. By querying this data in PostgreSQL alongside your customer support logs or app usage metrics, you can identify patterns that lead to cancellations and develop targeted retention strategies.

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