Magento + Bruin

Source

Ingest Magento data into your warehouse with incremental loading, quality checks, and full lineage. Defined in YAML, version-controlled in Git.

For business teams

What you get

Revenue analytics, automated
Magento orders, refunds, and transactions flow into your warehouse. Build cohort analysis, LTV, and revenue models with clean data.
True ROAS across channels
Join Magento revenue with ad spend from Google, Facebook, and others. Know your real return — not what each ad platform claims.
Inventory monitoring
Quality checks flag low stock levels and stockout risks from Magento data. Operations gets alerts before customers notice.
Customer 360 view
Combine Magento purchase history with support tickets, NPS, and product usage. See the full customer picture.

For data & engineering teams

How it works

Incremental order sync
Only sync new and updated Magento orders. No full reloads, even for high-volume stores.
YAML-defined, Git-versioned
Your Magento pipeline is a YAML file. Review in PRs, deploy with CI/CD, roll back with git revert.
Order data validation
Quality checks catch negative totals, invalid statuses, and missing order IDs on every sync.
Multi-destination support
Land Magento data in BigQuery, Snowflake, Redshift, or DuckDB. Switch destinations by changing one line.

Before you start

Magento 2 store

Integration created with API access

Access token from System > Integrations

Step 1

Add your Magento connection

Connect using Magento REST API token. Add this to your Bruin environment file — credentials are stored securely and referenced by name in your pipeline YAML.

Parameters

access_tokenMagento integration access token
store_urlYour Magento store URL

connections:
  magento:
    type: magento
    uri: "magento://[email protected]/rest/V1"

Step 2

Create your pipeline

Define a YAML asset that tells Bruin what to pull from Magento and where to land it. This file lives in your Git repo — reviewable, version-controlled, and deployable with CI/CD.

Available tables

ordersproductscustomerscategoriesinvoicesshipments

name: raw.magento_orders
type: ingestr

parameters:
  source_connection: magento
  source_table: 'orders'
  destination: bigquery

Step 3

Add quality checks

Add column-level and custom SQL checks to your Magento data. If a check fails, the pipeline stops — bad data never reaches downstream models or dashboards.

Catch negative order totals before they reach reports

Validate order statuses against accepted values

Ensure order IDs are unique — no duplicates

columns:
  - name: order_id
    checks:
      - name: not_null
      - name: unique
  - name: total_price
    checks:
      - name: not_null
  - name: status
    checks:
      - name: accepted_values
        value: ['pending', 'paid', 'shipped', 'delivered', 'cancelled']

custom_checks:
  - name: no negative order totals
    query: |
      SELECT COUNT(*) = 0
      FROM raw.magento_orders
      WHERE total_price < 0

Step 4

Run it

One command. Bruin connects to Magento, pulls data incrementally, runs your quality checks, and lands clean data in your warehouse. If a check fails, the pipeline stops — bad data never reaches downstream.

Backfill historical data with --start-date

Schedule with cron or trigger from CI/CD

Full lineage from Magento to your dashboards

$ bruin run .

Running pipeline...

  magento_orders
    ✓ Fetched 2,847 new records
    ✓ Quality: campaign_id not_null     PASSED
    ✓ Quality: spend not_null           PASSED
    ✓ Quality: no negative ad spend     PASSED
    ✓ Loaded into bigquery

  Completed in 12s

Other E-commerce Platform integrations

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eBay

Ready to connect Magento?

Start for free, or book a demo to see how Bruin handles ingestion, quality, lineage, and scheduling for your entire data stack.

Book a demo Read the docs