Load data from Monday.com to Redshift in a few clicks
Focus on your business, not on getting your Monday.com data into Redshift. Build scalable, production-ready data pipelines and workflows in hours, not days.
Monday.com 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 Monday.com to Redshift
Monday.com & 190+ Other Data Connectors, Fully Managed For You
Connect easily to Monday.com with 100% compatibility, regular API updates, and a wide range of other pre-built data connectors out of the box.
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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.
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About Monday.com
monday.com Work OS is an open platform that democratizes the power of software so organizations can easily build software applications and work management tools to fit their every need. The platform intuitively connects people to processes and systems, empowering teams to excel in every aspect of their work.
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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