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Connect Amazon Vendor Central to Azure SQL

Connect Amazon Vendor Central 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 Amazon Vendor Central API pipeline.

Used by the world's leading companies

Export Amazon Vendor Central data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Amazon Vendor Central data in Azure SQL

Bring all your Amazon Vendor Central data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from Amazon Vendor Central so every dashboard, model, and report works with fresh information.

Analysis

Unify Amazon Vendor Central with the rest of your business data

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

Amazon Vendor Central metrics and dimensions available in Azure SQL

Access 30 metrics and 34 dimensions from Amazon Vendor Central connectors including , and many more...

30

Metrics availables

34

Dimensions availables

Connect Amazon Vendor Central to Azure SQL in minutes

Move your data from Amazon Vendor Central 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 Amazon Vendor Central account

Authenticate your Amazon Vendor Central account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Amazon Vendor Central 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

Amazon Vendor Central.sql
BigQuery SQL
30-day window
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Amazon Vendor Central 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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Before you schedule the job.

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

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.