Payments categoryCertified 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 and load it to Delta Lake on Databricks manually.

Jumpstart your Recurly analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Recurly data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Recurly. Here’s a look at code for modeling Recurly data. This particular block of code prepares your Recurly invoice line items for further analysis.

View the source on GitHub →

select
    --ids
    adjustment__uuid as id,
    nullif(adjustment__original_adjustment_uuid,'') as original_adjustment_id,
    coalesce(adjustment__invoice_href::bigint,_sdc_source_key_invoice_number)
        as invoice_id,
    nullif(adjustment__subscription_href,'') as subscription_id,
    nullif(adjustment__account_href,'') as account_id,
    --dates
    nullif(adjustment__created_at,'')::timestamp as created_at,
    nullif(adjustment__start_date,'')::timestamp as start_date,
    nullif(adjustment__end_date,'')::timestamp as end_date,
    nullif(adjustment__state,'') as state,
    adjustment__total_in_cents/100.0 as total,
    adjustment__unit_amount_in_cents/100.0 as unit_amount,
    adjustment__tax_in_cents/100.0 as tax,
    adjustment__taxable as is_taxable,
    adjustment__discount_in_cents/100.0 as discount,
    nullif(adjustment__origin,'') as origin,
    nullif(adjustment__description,'') as description,
    nullif(adjustment__currency,'') as currency,
    nullif(adjustment__product_code,'') as plan_code,
    adjustment__quantity as quantity,
    adjustment__quantity_remaining as quantity_remaining,
    nullif(adjustment__revenue_schedule_type,'') as revenue_schedule_type,
    nullif(adjustment__updated_at,'')::timestamp as updated_at
from
    {{var('invoices_line_items_table')}}

Start replicating your Recurly data

Select your integrations, choose your warehouse, and enjoy Stitch free for 14 days.

Set up in minutesUnlimited data volume during trial

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.

See all analysis tools

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.

Explore all of Stitch's features

Simple setup: Start replicating data in minutes, and never worry about ETL maintenance.
Own your own data infrastructure: Stitch replicates to your warehouse, meaning you’re always in control.
Mature replication engine: Accurate data from any structure, all the time.

Explore all of Stitch's features

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.