How often does Kondado update Google Play Store data in PostgreSQL?

Kondado replicates data on a configurable schedule that you control, with options ranging from every five minutes to daily intervals. You can set different frequencies for different pipelines, such as updating Crashes data every 15 minutes for monitoring while refreshing Earnings Reports once daily for financial reconciliation.

What specific Google Play Store metrics can I replicate to PostgreSQL?

You can access seven pipelines including Reviews with star ratings and text, Estimated Sales Reports with transaction details, Earnings Reports with merchant currency amounts, Installs with daily user counts, Crashes with ANR data, Ratings with average scores, and Subscriptions with active and cancelled counts. Each pipeline delivers structured data ready for SQL analysis in your PostgreSQL database.

Can I combine Google Play Store data with other sources in PostgreSQL?

Yes, once your Play Store data resides in PostgreSQL , you can join it with data from advertising platforms or customer support tools using standard SQL joins. This allows you to correlate app installs with campaign spend, or analyze how user ratings impact support ticket volume within your centralized data warehouse.

How is the data structured when Google Play Store data arrives in PostgreSQL?

Each pipeline creates dedicated schemas with normalized structures containing fields like package_name, review_submit_date_utc, and item_price, preserving the original data types from the Google Play Console API. The structure supports immediate querying and connects seamlessly to visualization tools like Looker Studio or Power BI .

Do I need coding skills to send Google Play Store data to PostgreSQL?

No coding is required to establish the connection or maintain data flows, as Kondado handles the API authentication, data extraction, and schema management automatically. You simply select your pipelines and schedule through the interface, and your PostgreSQL database populates with fresh data ready for analysis.

Can I visualize Google Play Store data from PostgreSQL in BI tools?

Absolutely, after replicating to PostgreSQL , you can connect your preferred analytics platforms like Power BI , Looker Studio , or Google Sheets to build custom dashboards. This enables you to create reports that blend app performance metrics with financial or marketing data for comprehensive business intelligence.

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Send Google Play Store Data to PostgreSQL Automatically

How to send Google Play Store data to PostgreSQL? Kondado provides a direct connection between your Google Play Console and PostgreSQL without requiring engineering resources or complex API development. You authenticate your Google Play Store account, configure your PostgreSQL database as the destination, and select from seven available data pipelines including Reviews, Installs, and Sales Reports. The platform automatically extracts your app data and loads it into PostgreSQL on a configurable schedule ranging from every five minutes to daily, ensuring your analytics infrastructure stays current without manual intervention.

Kondado replicates Google Play Store data to PostgreSQL automatically on a configurable schedule, offering seven pipelines including Reviews, Estimated Sales Reports, Earnings Reports, Installs, Crashes, Ratings, and Subscriptions across 88 fields, with no coding required.

Once your data arrives in PostgreSQL, you can combine app metrics with other business data sources to build comprehensive analytics workflows. Join Play Store reviews with customer support tickets, correlate sales data with marketing spend, or analyze install trends alongside server performance metrics to gain complete visibility into your mobile app ecosystem.

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With the Reviews pipeline loaded into your database, you can analyze user sentiment trends and identify feature requests by querying review text and star ratings directly in PostgreSQL alongside your internal product analytics. The Estimated Sales Report and Installs pipelines enable precise revenue tracking and user acquisition analysis, allowing you to calculate lifetime value and monitor conversion funnels using SQL queries that join transaction data with daily install metrics. By combining Crashes data with these metrics in your PostgreSQL warehouse, you can correlate technical performance issues with revenue impact and user churn patterns to prioritize development fixes that maximize business outcomes.

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Google Play Store data available for PostgreSQL

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 PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Google Play Store Account

Authenticate your Google Play Store data source in Kondado by providing your Google Cloud service account credentials with access to the Play Console API. This establishes the authorized connection required to extract your app metrics and review data.

Configure PostgreSQL Destination

Enter your PostgreSQL host, database name, and credentials to designate where Kondado should load your Google Play Store data. You can specify custom schemas to organize your Reviews, Sales, and Installs pipelines alongside other business data.

Select Pipelines and Schedule

Choose from the seven available pipelines such as Reviews, Earnings Reports, and Crashes, then set your preferred update frequency ranging from five minutes to daily. Kondado will automatically begin replicating data to your PostgreSQL database according to your configuration.

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