How to load data from Chargebee to BigQuery

Learn how to use Airbyte to synchronize your Chargebee data into BigQuery within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Chargebee connector in Airbyte

Connect to Chargebee or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up BigQuery for your extracted Chargebee data

Select BigQuery where you want to import data from your Chargebee source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Chargebee to BigQuery in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync Chargebee to BigQuery Manually

  • Login to your Chargebee account to access its web interface. 
  • Look at the right-hand navigation bar on the home page and click on Settings options. 
  • Click on the Import & Export Data option from the dropdown menu. 
  • You’ll see an Export Chargebee data section. There, click on the Export data button. 
  • Now, you can export the data you want, including invoice data, transactions, product catalog, and subscription data. 
  • After selecting the export data, click the Select Criteria to export button. 
  • Next, it'll give you a popup menu that previews data where you can add certain filters and conditions according to your business requirements. You can also choose to export data in default configurations.
  • Lastly, click on the Export option, and it will start preparing your data and download it on a zip file on your local machine.
  • Go to the zip file you downloaded on your local machine and extract it to obtain a CSV file with the data on it. 
  • Verify the data in the CSV file and structure it as per your ideal format if necessary. 
  • Now, we will use Google Drive as a mediator to upload the CSV file to BigQuery easily. 
  • To perform this task, log in to your Google Drive account. 
  • From the top left corner, click on the +New button. Then, from the dropdown menu, select File Upload. 
  • Choose the CSV file you downloaded from Step 1 and upload it. 
  • After the upload is successful, copy the link to the file destination in Google Drive.
  • Login to your Google Cloud console and navigate to the BigQuery page. 
  • In the Explorer pane from the left side, create a new project or select an existing one in BigQuery. 
  • Click on the Create dataset option to create a new database under your current project. 
  • Now provide a unique Dataset name, and fill in other configuration details per your requirements. Click CREATE DATASET
  • Right-click on the Dataset you just created and click +Create table
  • In the Create table section, give your table a unique name. 
  • Select Drive as the source. In the Select Drive URI field, paste the link to the file you uploaded to Google Drive from Step 2, and set the file format to CSV
  • Configure other details and click CREATE TABLE
  • Ensure the destination is the project and database you created in BigQuery. 
  • Now, BigQuery will automatically import the data file you exported from Step 1.
  • Verify the table's structure and tweak the formatting according to your requirements.

How to Sync Chargebee to BigQuery Manually - Method 2:

FAQs

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.

Chargebee offers subscription and recurring billing system for subscription-based SaaS and eCommerce businesses. It is built with a focus on delivering the best experience to provide a seamless and flexible recurring billing experience to customers and manage customer subscriptions. With the subscription businesses expanding worldwide, eachrecurring revenue business needs more options and flexibility to manage varied billing use-cases.

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Chargebee to BigQuery as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Chargebee to BigQuery and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

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.

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.

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