How to load data from PrestaShop to BigQuery
Learn how to use Airbyte to synchronize your PrestaShop data into BigQuery within minutes.


Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes



Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say

Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Chase Zieman

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Access PrestaShop Database
First, gain access to your PrestaShop database. Typically, this is a MySQL database. Use your database credentials to connect via a MySQL client, such as phpMyAdmin or MySQL Workbench. This will allow you to run queries and export data directly from PrestaShop.
Step 2: Identify Data to Export
Determine which tables or data sets you need to move to BigQuery. Common data includes customer information, orders, and product details. Review the PrestaShop database schema to identify relevant tables and fields needed for your analysis.
Step 3: Export Data to CSV
Use SQL queries to extract the desired data from your PrestaShop database. Export the result of these queries into CSV format. Ensure that each CSV file has appropriate headers corresponding to the field names. This can typically be done through a SQL client or by using command-line tools like `mysqldump` with appropriate options for CSV export.
Step 4: Prepare Data for BigQuery
Before uploading to BigQuery, clean and format your CSV files. Ensure that the data types in your CSV match the intended schema in BigQuery. Remove any extraneous whitespace, verify correct data types, and handle any null or empty values appropriately.
Step 5: Create BigQuery Dataset and Table
In your Google Cloud Platform (GCP) account, navigate to BigQuery. Create a new dataset if one doesn’t exist. Within this dataset, create tables that will store your PrestaShop data. Define the schema for each table, ensuring that the field names and data types match those in your CSV files.
Step 6: Upload CSV to Google Cloud Storage
Use the Google Cloud Console or `gsutil` command-line tool to upload your CSV files to a Google Cloud Storage bucket. This step is necessary because BigQuery can load data directly from Cloud Storage. Ensure your CSV files are correctly placed in the bucket and that you have set appropriate access permissions.
Step 7: Load CSV Data into BigQuery
Use the BigQuery web interface, `bq` command-line tool, or BigQuery API to load your CSV files into the corresponding tables. Specify the source format as CSV and ensure the schema matches. Monitor the loading process for any errors. Once successful, your PrestaShop data will be available in BigQuery for analysis.
By following these steps, you can effectively transfer your PrestaShop data to BigQuery without the need for third-party connectors.