Load data from Gmail to Azure Synapse Analytics in a few clicks
Focus on your business, not on getting your Gmail data into Azure Synapse Analytics. Build scalable, production-ready data pipelines and workflows in hours, not days.
Gmail to Azure Synapse Analytics 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.
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
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.
About Azure Synapse Analytics
Azure Synapse Analytics is a limitless analytics service with unmatched time to insight (formerly SQL Data Warehouse).
Rivery's SaaS platform provides a unified solution for ingestion, transformation, orchestration, and data operations.
“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
“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
“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
"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