How to load data from Recurly to DuckDB

Learn how to use Airbyte to synchronize your Recurly data into DuckDB within minutes.

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Set up a Recurly connector in Airbyte

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

Set up DuckDB for your extracted Recurly data

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

Configure the Recurly to DuckDB 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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TL;DR

set up Recurly as a source connector (using Auth, or usually an API key)
set up DuckDB as a destination connector
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 Recurly

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.

What is DuckDB

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.

Integrate Recurly with DuckDB in minutes

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Prerequisites

A Recurly account to transfer your customer data automatically from.
A DuckDB account.
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 Recurly and DuckDB, for seamless data migration.

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

Step 1: Set up Recurly as a source connector

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.

Step 2: Set up DuckDB as a destination connector

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.

Step 3: Set up a connection to sync your Recurly data to DuckDB

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

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Recurly from the dropdown list of your configured sources.
Select your destination: Choose DuckDB from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Recurly objects you want to import data from towards DuckDB. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Recurly to DuckDB according to your settings.

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

Use Cases to transfer your Recurly data to DuckDB

Integrating data from Recurly to DuckDB provides several benefits. Here are a few use cases:

Advanced Analytics: DuckDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Recurly data, extracting insights that wouldn't be possible within Recurly alone.
Data Consolidation: If you're using multiple other sources along with Recurly, syncing to DuckDB 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.
Historical Data Analysis: Recurly has limits on historical data. Syncing data to DuckDB allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: DuckDB provides robust data security features. Syncing Recurly data to DuckDB ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: DuckDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Recurly data.
Data Science and Machine Learning: By having Recurly data in DuckDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Recurly provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to DuckDB, providing more advanced business intelligence options. If you have a Recurly table that needs to be converted to a DuckDB table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Recurly account as an Airbyte data source connector.
Configure DuckDB as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Recurly to DuckDB 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!

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How to Sync Recurly to DuckDB Manually

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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.

What is Recurly?

What data can you extract from Recurly?

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.

How do I transfer data from Recurly?

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

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.

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How to load data from Recurly to DuckDB

Learn how to use Airbyte to synchronize your Recurly data into DuckDB within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Recurly

Step 2: Setup DuckDB

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Recurly and DuckDB

Get your data syncing in minutes

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TL;DR

set up Recurly as a source connector (using Auth, or usually an API key)
set up DuckDB as a destination connector
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 Recurly