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Sync with Airbyte
1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "Create a new source."
2. Select "Recurly" from the list of available connectors.
3. Enter a name for your Recurly source and click "Next."
4. Enter your Recurly API key and subdomain in the appropriate fields. You can find your API key in your Recurly account settings.
5. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Recurly account.
6. Once the connection is successful, click "Create Source" to save your Recurly source in Airbyte.
7. You can now configure your Recurly source by selecting the data you want to replicate and setting up any necessary sync settings.
8. After configuring your source, click "Create Connection" to connect your Recurly source to a destination in Airbyte.
9. Follow the prompts to select a destination and configure your connection settings.
10. Once your connection is established, Airbyte will begin replicating data from your Recurly account to your destination.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button located in the top right corner of the screen.
3. Scroll down the list of available destinations until you find "DuckDB" and click on it.
4. Fill in the required information for your DuckDB database, including the host, port, database name, username, and password.
5. Test the connection to ensure that the information you provided is correct and that Airbyte can successfully connect to your DuckDB database.
6. If the connection is successful, click on the "Save" button to save your DuckDB destination connector.
7. You can now use this connector to transfer data from your source connectors to your DuckDB database. Simply select the DuckDB destination connector when setting up your data integration pipelines in Airbyte.
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.
Recurly is an SaaS subscription billing management platform that powers over 2,000 brands, including Asana, BarkBox, Cinemark, Sling TV, and Twitch. Automating the repetitive task of sending recurring bills month after month, Recurly provides management for thousands of subscription-based businesses worldwide. Recurly is quick and easy to set up and integrate into existing systems, and sales include service support so merchants can get help as needed. Recurly is a powerful tool that reduces subscriber churn and increases business revenue.
Recurly's API provides access to a wide range of data related to subscription management and billing. The following are the categories of data that Recurly's API gives access to:
1. Accounts: Information about customer accounts, including contact details, billing information, and subscription status.
2. Subscriptions: Details about active and inactive subscriptions, including plan information, billing cycles, and renewal dates.
3. Transactions: Information about all transactions related to a customer's account, including payments, refunds, and credits.
4. Invoices: Details about all invoices generated for a customer's account, including invoice items, due dates, and payment status.
5. Plans: Information about the different subscription plans offered by a business, including pricing, features, and billing intervals.
6. Add-ons: Details about additional products or services that can be added to a subscription, including pricing and billing intervals.
7. Coupons: Information about discounts or promotions offered to customers, including coupon codes, expiration dates, and usage limits.
8. Metrics: Data related to subscription and revenue metrics, including churn rate, customer lifetime value, and monthly recurring revenue.
Overall, Recurly's API provides businesses with a comprehensive set of data to manage their subscription-based business models effectively.
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.
Recurly is an SaaS subscription billing management platform that powers over 2,000 brands, including Asana, BarkBox, Cinemark, Sling TV, and Twitch. Automating the repetitive task of sending recurring bills month after month, Recurly provides management for thousands of subscription-based businesses worldwide. Recurly is quick and easy to set up and integrate into existing systems, and sales include service support so merchants can get help as needed. Recurly is a powerful tool that reduces subscriber churn and increases business revenue.
DuckDB is an in-process SQL OLAP database management system. It has strong support for SQL. DuckDB is borrowing the SQLite shell implementation. Each database is a single file on disk. It’s analogous to “ SQLite for analytical (OLAP) workloads” (direct comparison on the SQLite vs DuckDB paper here), whereas SQLite is for OLTP ones. But it can handle vast amounts of data locally. It’s the smaller, lighter version of Apache Druid and other OLAP technologies.
1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "Create a new source."
2. Select "Recurly" from the list of available connectors.
3. Enter a name for your Recurly source and click "Next."
4. Enter your Recurly API key and subdomain in the appropriate fields. You can find your API key in your Recurly account settings.
5. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Recurly account.
6. Once the connection is successful, click "Create Source" to save your Recurly source in Airbyte.
7. You can now configure your Recurly source by selecting the data you want to replicate and setting up any necessary sync settings.
8. After configuring your source, click "Create Connection" to connect your Recurly source to a destination in Airbyte.
9. Follow the prompts to select a destination and configure your connection settings.
10. Once your connection is established, Airbyte will begin replicating data from your Recurly account to your destination.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button located in the top right corner of the screen.
3. Scroll down the list of available destinations until you find "DuckDB" and click on it.
4. Fill in the required information for your DuckDB database, including the host, port, database name, username, and password.
5. Test the connection to ensure that the information you provided is correct and that Airbyte can successfully connect to your DuckDB database.
6. If the connection is successful, click on the "Save" button to save your DuckDB destination connector.
7. You can now use this connector to transfer data from your source connectors to your DuckDB database. Simply select the DuckDB destination connector when setting up your data integration pipelines in Airbyte.
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:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Recurly's API provides access to a wide range of data related to subscription management and billing. The following are the categories of data that Recurly's API gives access to:
1. Accounts: Information about customer accounts, including contact details, billing information, and subscription status.
2. Subscriptions: Details about active and inactive subscriptions, including plan information, billing cycles, and renewal dates.
3. Transactions: Information about all transactions related to a customer's account, including payments, refunds, and credits.
4. Invoices: Details about all invoices generated for a customer's account, including invoice items, due dates, and payment status.
5. Plans: Information about the different subscription plans offered by a business, including pricing, features, and billing intervals.
6. Add-ons: Details about additional products or services that can be added to a subscription, including pricing and billing intervals.
7. Coupons: Information about discounts or promotions offered to customers, including coupon codes, expiration dates, and usage limits.
8. Metrics: Data related to subscription and revenue metrics, including churn rate, customer lifetime value, and monthly recurring revenue.
Overall, Recurly's API provides businesses with a comprehensive set of data to manage their subscription-based business models effectively.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: