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Connect Appstore Review to Azure SQL

Connect Appstore Review to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Appstore Review API pipeline.

Appstore Review export job

First sync scheduled

Appstore Review Selected accounts

Configured job

Azure SQL Destination table

Account Appstore Review · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Appstore Review data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize App Store Review data in Azure SQL

Bring all your App Store Review data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

App Store Review Review data

INreview_sources PMlocations CUreviews BLreviewers

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.App Store Review_raw

TableScopeStatus

review_sourcesSelectedReady

locationsSelectedReady

reviewsSelectedReady

reviewersSelectedReady

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from App Store Review so every dashboard, model, and report works with fresh information.

App Store ReviewConfigured account

AzureSQLAppstore Review_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

review_sources326 updated locations102 appended Warehouse up to date

Analysis

Unify Appstore Review with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks review_sources · Average Rating Review

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

AzureSQL model business_360 Unified

FieldFrom

customer_idCRM

Average Ratingreview_sources

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Appstore Review metrics and dimensions available in Azure SQL

Access 8 metrics and 21 dimensions from Appstore Review connectors including Average Rating, Rating, Review Count, One Star, Five Stars, Date, Review DateTime, Review Title, Review Text, Reviewer, Reply Text and many more...

Metrics availables

Dimensions availables

View all Appstore Review metrics and dimensions

Connect Appstore Review to Azure SQL in minutes

Move your data from Appstore Review to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Appstore Review account

Authenticate your Appstore Review account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Appstore Review 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields

Host Required

catchr-reporting.database.windows.net

Username Required

catchr_loader

Password Required

••••••••••••

Database Required

marketing_reporting

Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example

Schema Destination

dbo

Table Per job

meta_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

Export readySelected fields · configured history

Every 6 hours

Review 30-day Appstore Review customer review performance in SQL.

This example summarizes review volume and average rating by location over the last 30 days.

30-day window

SELECT
  location_name,
  AVG(rating) AS average_rating,
  COUNT(*) AS reviews
FROM `your_project.marketing_raw.appstore_review_reviews`
WHERE review_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY location_name
ORDER BY reviews DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Appstore Review data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Finance

Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I start a scheduled Appstore Review import into Azure SQL?

Start with a connected Appstore Review source and an existing Azure SQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "locations" table.

Which Appstore Review entities can become Azure SQL tables?

Select concrete Appstore Review fields such as Average Rating, Rating, Review Count, and Day of the year. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as review sources, locations, and reviews.

Does Catchr support an initial fetch for Appstore Review data in Azure SQL?

Set an initial fetch period for Appstore Review, then choose the frequency and lookback window for the job writing to "locations". Catchr rewrites that selected period on each run.

Which partition setting keeps Appstore Review Azure SQL rows updated?

The partition field tells Catchr which Appstore Review rows in "locations" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.

What is a practical SQL use case for Appstore Review data?

With Appstore Review data, an Azure SQL query can summarize review volume and average rating by location over the last 30 days. A query built around Average Rating and Rating can support trend reviews, account comparisons, and operational reporting.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

Used by the world's leading companies

Export Appstore Review data to Azure SQL

Centralize App Store Review data in Azure SQL

Keep your AzureSQL tables up to date

Unify Appstore Review with the rest of your business data

Appstore Review metrics and dimensions available in Azure SQL

Connect Appstore Review to Azure SQL in minutes

Connect your Appstore Review account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day Appstore Review customer review performance in SQL.

Connect more table to your Appstore Review data

QuickBooks

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ChatGPT

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Amazon DSP

AdsWizz

TikTok Shop

The Trade Desk

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Tiktok GMV

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Line Ads

Yahoo! Japan Display

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Branch

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Teads

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Bigcommerce

Youtube Analytics

Google Ads

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LinkedIn Ads

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Facebook Pages

Amazon Ads

Pinterest Ads

X / Twitter Ads

TikTok Ads

Google Merchant Center

Google Analytics

Instagram

TikTok

Shopify

Google My Business

Snapchat Ads

LinkedIn Pages

Google Search Console

Spotify Ads

WooCommerce

Matomo

Klaviyo

Mailchimp

Pipedrive

ActiveCampaign