Load data from SpotX to Azure Blob Storage in a few clicks
Focus on your business, not on getting your SpotX data into Azure Blob Storage. Build scalable, production-ready data pipelines and workflows in hours, not days.
SpotX to Azure Blob Storage Data Pipelines Made Easy
Your unified solution for building data pipelines and orchestrating workflows at scale.
SpotX & 190+ Other Data Connectors, Fully Managed For You
Connect easily to SpotX with 100% compatibility, regular API updates, and a wide range of other pre-built data connectors out of the box.
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Start analyzing your SpotX data in minutes with Rivery
SpotX is a leading video advertising platform that enables publishers to monetize content across desktop, mobile and connected TV devices. SpotX connects premium media owners with brands, agencies, trading desks and DSPs to facilitate the sale of video advertising. Through SpotX's platform, media owners gain insights into buyer behavior and audience consumption to better manage their video ad inventory and maximize yield.
About Azure Blob Storage
Azure Blob storage is Microsoft's object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data.
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
“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
“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
"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