Load data from Recurly to Redshift in a few clicks

Focus on your business, not on getting your Recurly data into Redshift. Build scalable, production-ready data pipelines and workflows in hours, not days.

 

Recurly to Redshift Data Pipelines Made Easy

Your unified solution for building data pipelines and orchestrating workflows at scale.

Recurly & 190+ Other Data Connectors, Fully Managed For You

Connect easily to Recurly with 100% compatibility, regular API updates, and a wide range of other pre-built data connectors out of the box.

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We've Got Your Back

Ask us anything. We have the best customer support in the industry, staffed with data experts who are ready to help solve your data challenges.

Start analyzing your Recurly data in minutes with Rivery

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About Recurly

Recurly provides enterprise-class recurring billing management for thousands of subscription-based SaaS, Web 2.0, Mobile, content and publishing businesses worldwide.

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About Redshift

Amazon Redshift is a fast, fully managed data warehouse to analyze data using standard SQL and Business Intelligence (BI) tools. It enables companies to run complex analytic queries against petabytes of structured data (ETL to Redshift or ETL from Redshift), using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution.

Why Rivery?

Rivery's SaaS platform provides a unified solution for ingestion, transformation, orchestration, and data operations.

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“We saved several $100K we could have spent on development and maintenance. Within a few hours, you can build a production-ready, scalable ETL system.”

Gal Bar, Founder and CEO

yellowHEAD

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“We solved some of our most complex data challenges with Rivery. The ability to create a unified data pipeline that is always up-to-date has been a game changer.”

Tali Stern, Director of Business Intelligence

MediaForce

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“Rivery has more than delivered on the value proposition I sold my leadership on. Rather than hiring two more developers, I’ve been able to build all these pipelines on my own.”

Sean Lucas, Head of Data Engineering

Shyft Moving

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"A reporting process that once required back-and-forth between different teams is now executed ad-hoc by team leads in minutes, cutting time to execution in half."

Jean Huang, Analytics Manager

Good Apple

Trusted By Data Innovators Like:

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Easily Solve Your Most Complex Data Challenges

No Credit Card Required.