Recurly to Snowflake in minutes
Recurly provides subscription management software. The Stitch Recurly integration will ETL your Recurly data to Snowflake in minutes and keep it up to date without the headache of writing and maintaining ETL scripts.
Payments categoryCertified by Stitch
Here’s a sample of the raw Recurly data that Stitch will replicate to your analytics warehouse:
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.
The Invoices table contains invoice data, including the invoice state (ex: pending), ID, account info, contact info, tax info, and creation info.
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.
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.
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.
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 →
When it comes to replicating your data to Snowflake, 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.
Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.
Stitch allowed us to set up a data pipeline within a day. It helped us avoid the hassle of building a data infrastructure team. The quick turnaround time allowed us to gather insights almost near real time.
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
Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
Amazon RDS for MariaDB
Amazon RDS for MySQL
Amazon RDS for Oracle Database
Amazon RDS for PostgreSQL
Amazon RDS for SQL Server
Amazon S3 CSV
Google Analytics 360
Google Cloud SQL MySQL
Google Cloud SQL MySQL
Google Cloud SQL PostgreSQL
Google Search Console
Microsoft Advertising (Bing Ads)
Microsoft Azure SQL Server Database
Microsoft SQL Server
Netsuite Suite Analytics
Oracle Netsuite Bronto Marketing Platform
Salesforce Marketing Cloud