No-code pipeline · Apple App Store → SQL Server

Send data from Apple App Store to SQL Server

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

Kondado replicates Apple App Store subscription reports, download metrics, and sales data to SQL Server on a configurable schedule ranging from five minutes to daily intervals, requiring no coding or manual exports.

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Send Apple App Store Data to SQL Server

Kondado connects Apple App Store and SQL Server, allowing you to replicate your mobile app metrics to your Microsoft database without writing code. Simply add your Apple App Store account as a data source, configure your SQL Server destination, and select which pipelines you want to replicate. The platform handles the automated data extraction and loading on a configurable schedule, whether you need updates every five minutes or once daily. Your subscription events, download statistics, and revenue data flow directly into SQL Server ready for analysis.

Once your Apple App Store data lands in SQL Server, you can combine it with CRM data, marketing spend, or web analytics to build comprehensive performance dashboards. Business analysts can track lifetime value trends, monitor churn patterns across subscription tiers, and correlate download spikes with advertising campaigns using standard SQL queries.

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The Daily Downloads and Sales Report pipeline delivers granular transaction data including revenue figures and download counts that you can aggregate in SQL Server to calculate conversion rates by campaign or territory. Combined with the Daily Detailed Subscriber Report, you gain visibility into subscription lifecycles, allowing you to segment users by acquisition date and analyze retention cohorts directly within your database environment. The Daily Subscription Events Report further enriches your analysis by tracking renewals, cancellations, and promotional conversions, enabling sophisticated churn analysis and revenue forecasting when joined with your existing customer data in SQL Server.

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Replicated to SQL Server

Apple App Store data available for SQL Server

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

available pipelines

115

extractable fields

SQL Server

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 SQL Server →

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How to send Apple App Store data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Apple App Store Source

Authenticate your Apple App Store account in Kondado by providing your API credentials through the secure data source configuration panel. The platform automatically detects your available pipelines including subscriber reports and sales metrics.

Configure SQL Server Destination

Enter your SQL Server connection parameters including server address, database name, and authentication credentials to establish the target location for your App Store data. Kondado validates the connection and prepares the schema structure for incoming pipeline data.

Select Pipelines and Schedule

Choose from the four available pipelines such as Daily Downloads and Sales Report or Daily Subscription Events Report, then set your preferred update frequency from five minutes to daily intervals. Data begins flowing immediately to your SQL Server tables according to your configured timeline.

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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 SQL Server automatically

What specific subscription metrics can I replicate from Apple App Store to SQL Server? ▼

You can replicate four distinct pipelines including the Daily Detailed Subscriber Report with subscriber IDs and purchase dates, the Daily Summary Subscription Report with promotional offer names, and the Daily Subscription Events Report tracking proceeds reasons and event dates. These pipelines provide 115 fields covering subscription lifecycles, renewal events, and revenue attribution that land in structured SQL Server tables for your analysis queries.

How frequently can I schedule Apple App Store data updates to SQL Server? ▼

Kondado offers configurable scheduling options ranging from every five minutes to daily intervals, allowing you to balance data freshness with API rate considerations. You can set different frequencies for each pipeline, ensuring your Daily Downloads and Sales Report updates hourly while keeping subscription event data on a 15-minute cycle based on your analytical needs.

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

Yes, SQL Server serves as a central repository where you can join your App Store subscription data with marketing spend from advertising platforms or web analytics imported through additional Kondado pipelines. Create unified customer views by correlating download events with campaign data, or build comprehensive LTV models combining in-app purchase history with acquisition channel metrics stored in your database.

What data structure does Apple App Store use when replicated to SQL Server? ▼

Each pipeline creates dedicated tables in SQL Server with normalized schemas reflecting the original report structure, including date fields, subscriber identifiers, and monetary amounts in standard decimal formats. The data arrives ready for SQL joins and aggregations, with consistent column naming that preserves relationships between summary statistics and detailed transaction records across your four available pipelines.

Can I visualize Apple App Store data from SQL Server in BI tools? ▼

Absolutely, once your data resides in SQL Server, you can connect business intelligence platforms like Power BI or Looker Studio to build custom dashboards. Create subscription trend visualizations, download funnel analyses, or revenue forecasts that automatically refresh as Kondado updates your underlying SQL Server tables on schedule.

How do I start replicating Apple App Store data to SQL Server without writing code? ▼

The setup requires no programming knowledge, simply authenticate your Apple App Store account through Kondado's interface, provide your SQL Server connection details, and select your desired pipelines from the available options. Kondado handles the schema creation and data type mapping automatically, populating your SQL Server database with App Store metrics within minutes of configuration completion.

Can I send Apple App Store data to cloud data warehouses instead of SQL Server? ▼

While SQL Server provides robust on-premise and cloud database capabilities, Kondado also supports sending your App Store metrics to BigQuery, PostgreSQL, or Amazon S3 if your architecture requires different storage solutions. You can maintain parallel destinations or migrate your analytics stack while keeping SQL Server as your primary reporting database.

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