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Connect JSON / CSV / XML to Azure SQL

Connect JSON / CSV / XML 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 JSON / CSV / XML API pipeline.

JSON / CSV / XML export job

First sync scheduled

JSON / CSV / XML Selected accounts

Configured job

Azure SQL Destination table

Account JSON / CSV / XML · 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 JSON / CSV / XML data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize JSON / CSV / XML data in Azure SQL

Bring all your JSON / CSV / XML data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

JSON / CSV / XML Data Infrastructure data

INdata_sources PMschemas CUtables BLcolumns

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.JSON / CSV / XML_raw

TableScopeStatus

data_sourcesSelectedReady

schemasSelectedReady

tablesSelectedReady

columnsSelectedReady

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from JSON / CSV / XML so every dashboard, model, and report works with fresh information.

JSON / CSV / XMLConfigured account

AzureSQLJSON / CSV / XML Metrics_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

data_sources326 updated schemas102 appended Warehouse up to date

Analysis

Unify JSON / CSV / XML 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 data_sources · JSON / CSV / XML custom metric 1 Data Infrastructure

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

JSON / CSV / XML custom metric 1data_sources

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

JSON / CSV / XML metrics and dimensions available in Azure SQL

Access 0 metrics and 17 dimensions from JSON / CSV / XML connectors including , Source URL, Response Format, Row Index, Date, Year month, Year and many more...

Metrics availables

Dimensions availables

View all JSON / CSV / XML Metrics metrics and dimensions

Connect JSON / CSV / XML to Azure SQL in minutes

Move your data from JSON / CSV / XML 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 JSON / CSV / XML account

Authenticate your JSON / CSV / XML account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

JSON / CSV / XML 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 JSON / CSV / XML data ingestion quality in SQL.

This example summarizes loaded rows, successful records, errors, and success rate by day.

30-day window

SELECT
  date,
  SUM(row_count) AS rows,
  SUM(successful_rows) AS successful_rows,
  SUM(error_rows) AS error_rows,
  SAFE_DIVIDE(
    SUM(successful_rows),
    SUM(row_count)
  ) AS success_rate
FROM `your_project.marketing_raw.json_csv_xml_records_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY date
ORDER BY rows DESC;

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

Connect more table to your JSON / CSV / XML 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 create an Azure SQL job for JSON / CSV / XML data?

Create the JSON / CSV / XML source, then register Azure SQL with its server host, database name, username, and password. Link both through a datastream and target the "columns" table in the job.

What JSON / CSV / XML data can I preview before the Azure SQL import?

Build the JSON / CSV / XML schema from available records such as data sources, schemas, tables, and columns, plus the supported account and date dimensions. Preview the selected columns before the Azure SQL job is saved.

What happens when a scheduled JSON / CSV / XML Azure SQL job runs?

Configure the initial JSON / CSV / XML period separately from the recurring schedule for "columns". The source API determines how much history is available.

What is the safest update strategy for JSON / CSV / XML data in Azure SQL?

Choose an eligible date field as the partition for JSON / CSV / XML. Catchr can then replace the matching period in "columns"; without it, later runs append rows and may create duplicates.

Which reporting workflow can I build from JSON / CSV / XML tables in Azure SQL?

With JSON / CSV / XML data, an Azure SQL query can summarize loaded rows, successful records, errors, and success rate by day. Use data sources and schemas in an Azure SQL view to create a reusable reporting layer for client analysis.

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 JSON / CSV / XML data to Azure SQL

Centralize JSON / CSV / XML data in Azure SQL

Keep your AzureSQL tables up to date

Unify JSON / CSV / XML with the rest of your business data

JSON / CSV / XML metrics and dimensions available in Azure SQL

Connect JSON / CSV / XML to Azure SQL in minutes

Connect your JSON / CSV / XML account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day JSON / CSV / XML data ingestion quality in SQL.

Connect more table to your JSON / CSV / XML data

QuickBooks

MailerLite

JSON / CSV / XML

Firebase Realtime Database

ChatGPT

Braze

StackAdapt

Amazon DSP

AdsWizz

TikTok Shop

The Trade Desk

Outbrain DSP

Google Display & Video 360

Tiktok GMV

Chartmogul

Profitwell

Zoho CRM

Line Ads

Yahoo! Japan Display

Yahoo! Japan search ads

Xandr

Branch

Google Trends

Google Page Speed

Airbnb Review

Capterra Review

Facebook Review

Yelp Review

Glassdoor Review

Booking Review

Google Play Review

g2 Review

Appstore Review

Tripadvisor Review

Trustpilot Review

Indeed Review

Taboola

Teads

Outbrain

Magento

Prestashop

Bigcommerce

Youtube Analytics

Google Ads

Facebook Ads

LinkedIn Ads

Microsoft Ads

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