Summarize this article with:


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.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say

Andre Exner

"For TUI Musement, Airbyte cut development time in half and enabled dynamic customer experiences."

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."
Log in to your Mailjet account and navigate to your dashboard. From there, locate the emails or campaigns whose data you wish to export. Ensure you have the necessary permissions to access this data.
Within the Mailjet dashboard, go to the section where you can manage your contacts or campaign data. Use the export function to download the data. Typically, Mailjet allows you to export data in CSV format. Select the fields you need and download the CSV file to your computer.
Open the downloaded CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data to ensure it includes all the necessary information you need. Make any necessary adjustments or clean the data to ensure consistency and accuracy.
Launch Google Sheets in your web browser and create a new spreadsheet. This will be the destination for your Mailjet data. Name the spreadsheet appropriately to reflect its contents for easy identification.
In Google Sheets, go to the "File" menu, select "Import," and choose the option to upload a file. Select the CSV file you prepared earlier. Follow the import prompts to configure how the data should be inserted into the spreadsheet, such as separating data by commas and determining whether to replace or append to the current sheet.
Once the data is imported, take time to format and organize it within Google Sheets. Adjust column widths, apply filters, and use conditional formatting as needed to make the data more readable and useful. Ensure that all the necessary data is properly displayed.
Go through the imported data to check for any discrepancies or errors. Validate the data against the original Mailjet source if needed to ensure accuracy. If you find any issues, correct them directly in Google Sheets. This step ensures that your data is reliable for further analysis or reporting.
By following these steps, you can manually transfer data from Mailjet emails to Google Sheets without relying on any third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Mailjet Mail is an email marketing platform that allows businesses to create, send, and track email campaigns. It offers a user-friendly interface with drag-and-drop tools for designing emails, as well as advanced features such as segmentation, automation, and A/B testing. Mailjet Mail also provides real-time analytics to track the performance of email campaigns, including open rates, click-through rates, and conversion rates. With its robust API, Mailjet Mail can integrate with other marketing tools and platforms, making it a versatile solution for businesses of all sizes. Overall, Mailjet Mail helps businesses to engage with their customers and drive conversions through effective email marketing.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:





