Warehouses and Lakes
Finance & Ops Analytics

How to load data from Chargebee to Databricks Lakehouse

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

TL;DR

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 as a source connector (using Auth, or usually an API key)
  2. set up Databricks Lakehouse as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Chargebee

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.

What is Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Integrate Chargebee with Databricks Lakehouse in minutes

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Prerequisites

  1. A Chargebee account to transfer your customer data automatically from.
  2. A Databricks Lakehouse account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Chargebee and Databricks Lakehouse, for seamless data migration.

When using Airbyte to move data from Chargebee to Databricks Lakehouse, it extracts data from Chargebee using the source connector, converts it into a format Databricks Lakehouse can ingest using the provided schema, and then loads it into Databricks Lakehouse via the destination connector. This allows businesses to leverage their Chargebee data for advanced analytics and insights within Databricks Lakehouse, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Chargebee as a source connector

1. First, navigate to the "Sources" tab on the Airbyte dashboard.
2. Click on the "Create a new source" button and select "Chargebee" from the list of available connectors.
3. Enter a name for your Chargebee source connector and click "Next".
4. Enter your Chargebee API key and site name in the appropriate fields. You can find your API key in your Chargebee account under "Settings" > "Configure Chargebee" > "API Keys". Your site name is the subdomain of your Chargebee account URL (e.g. if your account URL is "https://example.chargebee.com", your site name would be "example").
5. Click "Test" to ensure that your credentials are correct and Airbyte can connect to your Chargebee account.
6. Once the test is successful, click "Create" to save your Chargebee source connector.
7. You can now configure your sync settings for your Chargebee source connector, such as selecting which tables to sync and setting up any necessary transformations.
8. Click "Save" to finalize your sync settings and start syncing data from your Chargebee account to your destination.

Step 2: Set up Databricks Lakehouse as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Databricks Lakehouse" connector and click on it.
4. You will be prompted to enter your Databricks Lakehouse credentials, including your account name, personal access token, and workspace ID.
5. Once you have entered your credentials, click on the "Test" button to ensure that the connection is successful.
6. If the test is successful, click on the "Save" button to save your Databricks Lakehouse destination connector settings.
7. You can now use the Databricks Lakehouse connector to transfer data from your source connectors to your Databricks Lakehouse destination.
8. To set up a data transfer, navigate to the "Sources" tab and select the source connector that you want to use.
9. Follow the prompts to enter your source connector credentials and configure your data transfer settings.
10. Once you have configured your source connector, select the Databricks Lakehouse connector as your destination and follow the prompts to configure your data transfer settings.
11. Click on the "Run" button to initiate the data transfer.

Step 3: Set up a connection to sync your Chargebee data to Databricks Lakehouse

Once you've successfully connected Chargebee as a data source and Databricks Lakehouse as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Chargebee from the dropdown list of your configured sources.
  3. Select your destination: Choose Databricks Lakehouse from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Chargebee objects you want to import data from towards Databricks Lakehouse. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Chargebee to Databricks Lakehouse according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Databricks Lakehouse data warehouse is always up-to-date with your Chargebee data.

Use Cases to transfer your Chargebee data to Databricks Lakehouse

Integrating data from Chargebee to Databricks Lakehouse provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Databricks Lakehouse’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Chargebee data, extracting insights that wouldn't be possible within Chargebee alone.
  2. Data Consolidation: If you're using multiple other sources along with Chargebee, syncing to Databricks Lakehouse allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Chargebee has limits on historical data. Syncing data to Databricks Lakehouse allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Databricks Lakehouse provides robust data security features. Syncing Chargebee data to Databricks Lakehouse ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Databricks Lakehouse can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Chargebee data.
  6. Data Science and Machine Learning: By having Chargebee data in Databricks Lakehouse, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Chargebee provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Databricks Lakehouse, providing more advanced business intelligence options. If you have a Chargebee table that needs to be converted to a Databricks Lakehouse table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Chargebee account as an Airbyte data source connector.
  2. Configure Databricks Lakehouse as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Chargebee to Databricks Lakehouse after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
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Talk to a data infrastructure expert
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What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Frequently Asked Questions

What data can you extract from Chargebee?

Chargebee's API provides access to a wide range of data related to subscription management and billing. The following are the categories of data that can be accessed through Chargebee's API:  

1. Customers: Information related to customers such as name, email, address, and payment details.  
2. Subscriptions: Details about the subscription plans, including the plan name, billing frequency, and pricing.  
3. Invoices: Information about the invoices generated for the subscriptions, including the invoice amount, due date, and payment status.  
4. Payments: Details about the payments made by customers, including the payment method, transaction ID, and amount.  
5. Products: Information about the products or services offered by the business, including the product name, description, and pricing.  
6. Coupons: Details about the discounts or promotional offers provided to customers, including the coupon code, discount amount, and validity period.  
7. Events: Real-time updates about the events related to subscriptions, such as subscription creation, cancellation, and renewal.  

Overall, Chargebee's API provides comprehensive access to the data required for managing subscriptions and billing, enabling businesses to streamline their operations and improve customer experience.

What data can you transfer to Databricks Lakehouse?

You can transfer a wide variety of data to Databricks Lakehouse. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Chargebee to Databricks Lakehouse?

The most prominent ETL tools to transfer data from Chargebee to Databricks Lakehouse include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Chargebee and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Databricks Lakehouse and other databases, data warehouses and data lakes, enhancing data management capabilities.