Chargify (Keen) is a billing and analytics platform that simplifies subscription management and offers real-time data insights, helping businesses optimize revenue and customer engagement.
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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.



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.

Set up a source connector to extract data from in Airbyte
Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.


Configure the connection in Airbyte
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Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration

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Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors

Cover your custom needs with our extensibility

Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration

Reliability at every level



Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors

Cover your custom needs with our extensibility

Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration

Reliability at every level



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Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

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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.
Chargify is a billing and revenue management system for B2B SaaS companies that provides a SaaS billing solution to handle free trial periods, one-time fees, promotions, refunds, email receipts. It is a recurring billing and subscription management platform designed for subscription-based businesses which aims to end the billing bottleneck for Web 2.0 and SaaS companies, allowing them to easily launch new products. Chargify is a worldly-recognized leader in the Recurring Billing and Subscription Management space that turns billing into a competitive edge
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 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.
Chargify is a billing and revenue management system for B2B SaaS companies that provides a SaaS billing solution to handle free trial periods, one-time fees, promotions, refunds, email receipts. It is a recurring billing and subscription management platform designed for subscription-based businesses which aims to end the billing bottleneck for Web 2.0 and SaaS companies, allowing them to easily launch new products. Chargify is a worldly-recognized leader in the Recurring Billing and Subscription Management space that turns billing into a competitive edge
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 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.
Chargify is a billing and revenue management system for B2B SaaS companies that provides a SaaS billing solution to handle free trial periods, one-time fees, promotions, refunds, email receipts. It is a recurring billing and subscription management platform designed for subscription-based businesses which aims to end the billing bottleneck for Web 2.0 and SaaS companies, allowing them to easily launch new products. Chargify is a worldly-recognized leader in the Recurring Billing and Subscription Management space that turns billing into a competitive edge
1. First, log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "Chargify" from the list of available connectors.
3. Enter your Chargify API key and subdomain in the appropriate fields. If you don't have an API key, you can generate one in your Chargify account settings.
4. Choose the data you want to sync from Airbyte to Chargify by selecting the appropriate tables and fields.
5. Map the fields from your source data to the corresponding fields in Chargify. This will ensure that the data is properly formatted and can be successfully synced.
6. Test the connection by clicking on the "Test" button. This will verify that Airbyte can successfully connect to your Chargify account and that the data is being properly synced.
7. Once the test is successful, click on the "Save" button to finalize the connection. Your Chargify destination connector is now set up and ready to use.
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.