Load data from Taboola to Amazon S3 in a few clicks
Focus on your business, not on getting your Taboola data into Amazon S3. Build scalable, production-ready data pipelines and workflows in hours, not days.
Taboola to Amazon S3 Data Pipelines Made Easy
Your unified solution for building data pipelines and orchestrating workflows at scale.
How to set up a connection from Taboola to Amazon S3
Taboola & 190+ Other Data Connectors, Fully Managed For You
Connect easily to Taboola 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 Taboola
Taboola is a content discovery platform, which servers over 360 billion recommendations to over 1 billion unique visitors every month on some of the web's most innovative publisher sites, including USA TODAY, Business Insider, Chicago Tribune, and The Weather Channel. Publishers, marketers, and agencies leverage Taboola to retain users on their sites, monetize their traffic, and distribute their content to drive high-quality audiences.
About Amazon S3
Amazon Simple Storage Service (Amazon S3) is object storage with a simple web service interface to store and retrieve any amount of data from anywhere on the web. Customers use S3 as primary storage for cloud-native applications; as a bulk repository, as a data lake for analytics; or as a target for backup, recovery, and disaster recovery with serverless computing.
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
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