How does Kondado replicate Google Play Store data to Redshift?

Kondado connects directly to your Google Play Console using your credentials, extracts data from selected pipelines, and loads it into your specified Redshift schema. The process runs automatically on your chosen schedule, whether every five minutes or daily, ensuring your analytics environment stays current without manual exports.

What specific Google Play Store metrics can I analyze in Redshift?

You can replicate seven distinct pipelines including Reviews with star ratings and text, Installs with daily user acquisition counts, Crashes with ANR rates, and financial data through Estimated Sales and Earnings Reports. This covers user engagement, app stability, and revenue transactions across 88 available fields.

How frequently can I update Google Play Store data in my Redshift cluster?

Kondado supports configurable update schedules ranging from every five minutes to hourly or daily intervals, depending on your analytics requirements. You set the frequency during pipeline configuration, and the system maintains this rhythm automatically without additional intervention.

Can I combine Google Play Store data with other marketing platforms in Redshift?

Yes, once your app data resides in Redshift, you can join it with data from advertising platforms, CRM systems, or web analytics tools using standard SQL. This unified approach enables comprehensive reporting in Power BI or Looker Studio that correlates app performance metrics with broader marketing campaigns.

What schema structure does Google Play Store data use in Redshift?

Data arrives in structured datasets corresponding to each pipeline, such as separate datasets for Reviews, Installs, and Earnings Reports, with standard PostgreSQL column types compatible with Redshift. Each field maps directly from the Google Play Console API, preserving data types for accurate querying and reporting.

Do I need technical expertise to maintain the Google Play Store Redshift connection?

No coding is required to establish or maintain the connection, as Kondado handles the API authentication, data extraction, and schema management automatically. You configure the pipeline through a visual interface, and Redshift receives ready-to-query data that works immediately with Power BI , Looker Studio , or SQL-based analytics tools.

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Send Google Play Store Data to Redshift Automatically

Sending Google Play Store data to Redshift requires connecting your Google Play Console account to Kondado and configuring your Amazon Redshift cluster as the destination. You select which data pipelines you need, such as Reviews, Installs, or Sales Reports, and define how frequently the data should update. Kondado automatically replicates the selected data on your configured schedule, loading it directly into your Redshift tables without manual intervention or coding requirements. Once your data arrives in Redshift, you can analyze app performance, track revenue metrics, and monitor user engagement using your preferred business intelligence tools.

Kondado provides a direct integration between Google Play Store and Amazon Redshift, replicating data from seven available pipelines including Reviews, Estimated Sales Reports, Installs, Crashes, Ratings, Subscriptions, and Earnings Reports on a configurable schedule ranging from every five minutes to daily.

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The Reviews pipeline captures user feedback, star ratings, and submission dates, enabling you to perform sentiment analysis and identify feature requests directly within Redshift. Combined with the Installs pipeline, which tracks daily user acquisitions and uninstall events alongside the Crashes pipeline showing daily ANRs and crash rates, you can correlate app stability with retention metrics. The Estimated Sales Report and Earnings Report pipelines provide transaction-level revenue data, allowing you to calculate lifetime value, track merchant currency amounts, and optimize pricing strategies using complex SQL queries in your Redshift environment.

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Google Play Store data available for Redshift

available pipelines

extractable fields

Available integrations

Integration	Description
Reviews	Contains information about reviews, including package_name, star_rating, and review_text, along with dates like review_submit_date_utc.
Estimated Sales Report	Presents data on sales, such as product_title, item_price, and order_charged_date_utc, along with buyer state information.
Earnings Report	Includes information on transactions, such as product_title, amount_merchant_currency, and transaction_date, along with transaction type details.
Installs	Provides data on installs, including daily_user_installs, total_user_installs, and uninstall_events, along with date information.
Crashes	Presents data on crashes, such as daily_crashes and daily_anrs, along with date information and package_name.
Ratings	Contains information about ratings, including daily_average_rating, total_average_rating, and package_name, along with date data.
Subscriptions	Provides data on subscriptions, including new_subscriptions, cancelled_subscriptions, and active_subscriptions, along with date information and product_id.

Reviews

Contains information about reviews, including package_name, star_rating, and review_text, along with dates like review_submit_date_utc.

Estimated Sales Report

Presents data on sales, such as product_title, item_price, and order_charged_date_utc, along with buyer state information.

Earnings Report

Includes information on transactions, such as product_title, amount_merchant_currency, and transaction_date, along with transaction type details.

Installs

Provides data on installs, including daily_user_installs, total_user_installs, and uninstall_events, along with date information.

Crashes

Presents data on crashes, such as daily_crashes and daily_anrs, along with date information and package_name.

Ratings

Contains information about ratings, including daily_average_rating, total_average_rating, and package_name, along with date data.

Subscriptions

Provides data on subscriptions, including new_subscriptions, cancelled_subscriptions, and active_subscriptions, along with date information and product_id.

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How to send Google Play Store data to Redshift

Sync data automatically — no code, no manual exports.

Connect Google Play Store

Authenticate your Google Play Console account in Kondado by providing the necessary credentials to establish the data source. This grants access to your app's Reviews, Installs, Sales, and other performance metrics for replication.

Configure Redshift Destination

Enter your Amazon Redshift cluster connection details including host, database name, and credentials to establish the destination endpoint. Kondado supports direct integration with Redshift, ensuring your data loads efficiently into your existing data warehouse structure.

Select Pipelines and Schedule

Choose from the seven available pipelines such as Reviews, Crashes, or Earnings Reports, then set your preferred update frequency from five minutes to daily. Once configured, data flows automatically to Redshift where you can analyze it alongside other sources or connect to Power BI and Looker Studio.

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