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Connect Prestashop to Snowflake

Connect Prestashop to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

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

Used by the world's leading companies

Export Prestashop data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Prestashop data in PostgreSQL

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

Data freshness

Keep your Snowflake tables up to date

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

Analysis

Unify Prestashop with the rest of your business data

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

Prestashop metrics and dimensions available in Snowflake

Access 23 metrics and 83 dimensions from Prestashop connectors including Orders Total Paid, Orders Total Products, Orders Total Discounts, Orders Items Quantity, Product Quantity, Orders Total Shipping, Date, Orders Date Add, Product Name, Orders Current State, Orders Payment, Customers Customer Group Name and many more...

23

Metrics availables

83

Dimensions availables

Connect Prestashop to Snowflake in minutes

Move your data from Prestashop to Snowflake 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 Prestashop account

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

Client A · Connected sources
5 sources ready
Prestashop Prestashop 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 Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields
Authentication Choose one
Password
Key pair
Host Required
xy12345.eu-west-1
Username Required
catchr_service
Database Required
MARKETING.RAW
Private key passphrase Optional
••••••••••••
Private key Required for key pair
-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----
Step three

Keep your Snowflake tables updated

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

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

Review 30-day Prestashop sales performance in SQL.

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

Prestashop.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.prestashop_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

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

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

How does a Prestashop-to-Snowflake workflow work in Catchr?

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

Can I choose the Prestashop columns loaded into Snowflake?

Select concrete Prestashop fields such as Customers Max Payment Days, Product Price, Product Quantity, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as stores, customers, and products.

Can I choose both history and frequency for a Prestashop Snowflake job?

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

Can Catchr refresh only the recent Prestashop rows in Snowflake?

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

What business questions can Prestashop data answer in Snowflake?

With Prestashop data, a Snowflake query can summarize revenue, orders, units sold, and average order value by sales channel. Join Customers Max Payment Days and Product Price with shared account or date keys to build a reusable performance model in Snowflake.

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

Yes. Connect an existing Snowflake 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 Snowflake 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. 

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