Load data from Salesforce Social Studio to Redshift in a few clicks
Focus on your business, not on getting your Salesforce Social Studio data into Redshift. Build scalable, production-ready data pipelines and workflows in hours, not days.
Salesforce Social Studio to Redshift Data Pipelines Made Easy
Your unified solution for building data pipelines and orchestrating workflows at scale.
How to set up a connection from Salesforce Social Studio to Redshift
Salesforce Social Studio & 190+ Other Data Connectors, Fully Managed For You
Connect easily to Salesforce Social Studio 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 Salesforce Social Studio
Social Studio is a one-stop solution to manage, schedule, create, and monitor posts. You can organize posts by brand, region, or multiple teams and individuals in a unified interface. Social Studio offers powerful real-time publishing and engagement platform for content marketers, plus the comprehensive content performance by social network and time frame.
About Redshift
Amazon Redshift is a fast, fully managed data warehouse to analyze data using standard SQL and Business Intelligence (BI) tools. It enables companies to run complex analytic queries against petabytes of structured data (ETL to Redshift or ETL from Redshift), using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution.
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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