Load data from Stripe to Azure Synapse Analytics in a few clicks

Focus on your business, not on getting your Stripe data into Azure Synapse Analytics. Build scalable, production-ready data pipelines and workflows in hours, not days.

Stripe to Azure Synapse Analytics Data Pipelines Made Easy

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

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

Connect easily to Stripe 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 Stripe data in minutes with Rivery

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About Stripe

Stripe is a global technology company that builds economic infrastructure for the internet. Today millions of companies across more than 100 countries use Stripe to start, run, and scale their businesses online. Stripe combines economic infrastructure with a set of applications for new business models like crowdfunding and marketplaces, fraud prevention, analytics, and more.

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About Azure Synapse Analytics

Azure Synapse Analytics is a limitless analytics service with unmatched time to insight (formerly SQL Data Warehouse).

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

Data Process Automation

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

Link Any Data Source

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

Zero Friction, Quicker Uptime

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

Consumption-Based Pricing

Good Apple

Trusted By Data Innovators Like:

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Easily Solve Your Most Complex Data Challenges

No Credit Card Required.