Load data from Gmail to Azure SQL in a few clicks

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

 

Gmail to Azure SQL Data Pipelines Made Easy

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

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

Connect easily to Gmail 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 Gmail data in minutes with Rivery

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About Gmail

Gmail is a free email service developed by Google. Users can access Gmail on the web and using third-party programs that synchronize email content through POP or IMAP protocols.

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About Azure SQL

Microsoft Azure SQL Database is a managed cloud database provided as part of Microsoft Azure. Build apps that scale with the pace of your business with a managed and intelligent SQL database in the cloud.

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.