Load data from Oath to Snowflake in a few clicks

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

Oath to Snowflake Data Pipelines Made Easy

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

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How to set up a connection from Oath to Snowflake

Oath Connection

Oath Walkthrough

Snowflake Connection

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

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

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About Oath

Oath is a subsidiary of Verizon that delivers content and advertising solutions for brands and publishers.

About Snowflake

Snowflake is a data warehouse built for the cloud, enabling the data-driven enterprise with instant elasticity, secure data sharing and per-second pricing, across multiple clouds. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions.

Why Rivery?

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

yellowHEAD

“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

“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

"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