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Connect Magento to MySQL

Connect Magento to MySQL and export selected accounts, metrics, and dimensions to your MySQL project.

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

Used by the world's leading companies

Export Magento data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Magento data in MySQL

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

Data freshness

Keep your MySQL tables up to date

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

Analysis

Unify Magento with the rest of your business data

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

Magento metrics and dimensions available in MySQL

Access 0 metrics and 144 dimensions from Magento connectors including , Date, Order Item Sku, Order Item Name, Order Item Product Type, Order Shipping Country Code, Order Base Currency Code and many more...

0

Metrics availables

144

Dimensions availables

Connect Magento to MySQL in minutes

Move your data from Magento to MySQL 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 Magento account

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

Client A · Connected sources
5 sources ready
Magento 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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

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

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day Magento sales performance in SQL.

This example summarizes revenue, orders, units sold, and average order value by sales channel.

Magento.sql
BigQuery SQL
30-day window
SELECT
  sales_channel,
  SUM(revenue) AS revenue,
  SUM(orders) AS orders,
  SUM(units_sold) AS units_sold,
  SAFE_DIVIDE(
    SUM(revenue),
    SUM(orders)
  ) AS average_order_value
FROM `your_project.marketing_raw.magento_orders`
WHERE order_date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY sales_channel
ORDER BY revenue DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Magento 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 MySQL setup, available source data, schedules, table updates, and SQL use cases.

How do I route Magento data into MySQL tables?

Connect Magento and add MySQL as the stored destination. Create a datastream, then save a job that sends the required records to the "orders" table.

Which Magento fields can I store in MySQL?

Build the Magento schema from available records such as stores, customers, products, and product variants, plus the supported account and date dimensions. Preview the selected columns before the MySQL job is saved.

Can I backfill Magento data before scheduling MySQL updates?

Choose how far back the first Magento load should go and how much recent data each "orders" run should refresh. Catchr splits large backfills into smaller intervals.

What happens if no partition field is chosen for Magento?

For recurring Magento loads, assign an eligible partition field to "orders". Otherwise Catchr cannot match the refresh window and will append the returned records.

How does Magento data in MySQL support deeper analysis?

With Magento data, a MySQL query can summarize revenue, orders, units sold, and average order value by sales channel. Join stores and customers with shared account or date keys to build a reusable performance model in MySQL.

Does my MySQL database need to exist before I connect it?

Yes. Connect an existing MySQL 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 MySQL 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. 

Your next MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

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