Payments category Paid integration Certified by Stitch

Expected Recurly data

Here’s a sample of the raw Recurly data that Stitch will replicate to your analytics warehouse:

Accounts

The Accounts table includes comprehensive customer account info such as the account code, billing info URL, subscription URL, state (status), username, email, contact information, tax info, creation info, and more.

Table name: recurly_accounts

Invoices

The Invoices table contains invoice data, including the invoice state (ex: pending), ID, account info, contact info, tax info, and creation info.

Table name: recurly_invoices

Plans

This table houses the data relating to each of your Plans. Attributes include the plan code, name, description, interval length and unit, trial interval length and unit, total billing cycles, accounting code, tax info, setup fee, and creation info.

Table name: recurly_plans

Subscriptions

The Subscriptions table is a record of all your subscriptions. Attributes in this table include the plan code, name, ID, state (status), currency, activation date, cancellation and expiration info, trial info, tax info, and add-on info.

Table name: recurly_subscriptions

Transactions

The Transaction table includes account transaction information. Columns include the account and account details, invoice, and subscription info, transaction amount, currency, status, payment method, source, refundable, IP address, and creation info.

Table name: recurly_transactions

View all tables

Learn more about syncing Recurly data

Documentation

Detailed documentation on how to start syncing Recurly data.

Recurly Documentation

Manual Instructions

How to extract data from Recurly and load it to Delta Lake on Databricks manually.

Recurly to Delta Lake on Databricks Manually

Simplify your Delta Lake on Databricks migration

When it comes to replicating your data to Delta Lake on Databricks, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

All your data, where you need it

Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.

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Stitch's interface is sleek and efficient. We only know it's running when it sends us alerts; otherwise, it does its job without bother.

Amaury Dumoulin

Data Lead, Qonto

Why our customers choose Stitch

Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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Connect to your ecosystem of data sources

Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.