No-code pipeline · Google Play Store → SQL Server

Send data from Google Play Store to SQL Server

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From Google Play Store to SQL Server: managed, scheduled, no code.
Kondado automatically replicates Google Play Store data to SQL Server on a configurable schedule, offering seven pipelines with 88 fields covering reviews, sales, installs, crashes, ratings, and subscriptions. Users can update their databases every 5 minutes or on custom intervals without writing code, enabling comprehensive app performance analysis directly within SQL Server environments.

Send Google Play Store Data to SQL Server

How to send Google Play Store data to SQL Server? Start by connecting your Google Play Store account to Kondado, then select SQL Server as your destination. Choose from seven available pipelines including Reviews, Installs, and Earnings Reports to replicate the specific data you need. Configure your update schedule to run every 5 minutes, hourly, or daily based on your business requirements.

Once your data arrives in SQL Server, you can combine Play Store metrics with internal business data to build unified analytics workflows. Create custom reports tracking user acquisition costs against in-app purchase revenue, or correlate crash rates with support ticket volumes. This automated pipeline eliminates manual CSV exports and ensures your analytics team always works with current app performance data.

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The Reviews and Ratings pipelines deliver granular sentiment data and star ratings directly into your SQL Server database, enabling you to calculate net promoter scores and identify feature requests through text analysis of review content. Meanwhile, the Earnings Report and Subscriptions pipelines provide transaction-level revenue data including merchant currency amounts and subscription status changes, perfect for building cohort retention analyses and revenue forecasting models alongside your existing financial data. With all seven pipelines available, you can correlate install volumes from the Installs pipeline with conversion rates to paint a complete picture of your app’s commercial performance within SQL Server.

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Replicated to SQL Server

Google Play Store data available for SQL Server

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

7
available pipelines
88
extractable fields
SQL Server
Destination

Available integrations

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 SQL Server

Sync data automatically — no code, no manual exports.

1
Connect Google Play Store

Authenticate your Google Play Store developer account in Kondado by providing your API credentials through the secure connection interface.

2
Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location for your replicated data.

3
Select Pipelines and Schedule

Choose from the seven available pipelines such as Reviews, Installs, or Earnings Reports, then set your preferred update frequency to begin automated replication on your configured schedule.

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Send data from Google Play Store to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Google Play Store data to SQL Server automatically

How often can I update Google Play Store data in SQL Server?
You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your reporting needs. This flexible scheduling ensures your SQL Server database reflects recent app activity without overwhelming your system with unnecessary API calls.
What Google Play Store metrics can I replicate to SQL Server?
Kondado offers seven pipelines covering Reviews, Estimated Sales Reports, Earnings Reports, Installs, Crashes, Ratings, and Subscriptions. These include 88 distinct fields such as daily user installs, transaction amounts, star ratings, and crash events that land as structured datasets in your database.
Can I combine Google Play Store data with other sources in SQL Server?
Yes, once replicated to SQL Server, you can join Play Store metrics with data from additional Kondado sources such as advertising platforms or CRM systems. You can also send the same Google Play Store data to complementary tools like Power BI or Looker Studio for visualization while keeping SQL Server as your analytical database.
How does the data appear in SQL Server after replication?
Each pipeline creates structured datasets in SQL Server with preserved data types and relationships, including timestamp fields like review_submit_date_utc and order_charged_date_utc. The schema maintains field names from the source API, making it easy to write queries against your app performance data immediately.
Can I send Google Play Store data to visualization tools from SQL Server?
After replicating to SQL Server, you can connect your database to Power BI, Looker Studio, or Google Sheets for reporting. Alternatively, Kondado can send Play Store data directly to these visualization tools in parallel with your SQL Server replication.
Do I need coding skills to replicate Google Play Store data to SQL Server?
No coding is required to establish the connection or configure the data transfer. Kondado provides a no-code interface where you authenticate your Google Play Store account, select your desired pipelines, and set your update schedule through a visual workflow.
What can I build with Google Play Store data in SQL Server?
You can construct custom dashboards tracking lifetime value per install, churn prediction models combining subscription cancellations with crash data, or financial reconciliation reports matching Play Store earnings against your accounting system. The structured data supports complex SQL queries for deep app performance analysis.

Try out all the features for free for 14 days

Try out all the features for free for 14 days