Try for free on AWS Marketplace

Matillion ETL for Amazon Redshift makes loading and transforming data on Amazon Redshift fast, easy, and affordable. Prices start at $1.37/hour and you pay only for what you use. Try and buy Matillion ETL for Amazon Redshift with 1-Click in AWS Marketplace.

Introducing Matillion ETL for Amazon Redshift

Matillion ETL for Snowflake is also available in AWS Marketplace.  

Matillion ETL for Amazon Redshift is a fast, modern, easy-to-use and powerful ETL/ELT tool that makes it simple and productive to load and transform data on Amazon Redshift.

  • With just a few clicks, you can load data into Amazon Redshift from dozens of sources, including Amazon S3 and Amazon Relational Database Service; multiple databases and APIs; common systems like Google Analytics, Salesforce, Netsuite, and SAP; and even social media like Facebook and Twitter.
  • Expect a significant reduction in development time and maintenance with Matillion’s intuitive UI and unique push-down ELT approach that takes full advantage of Amazon Redshift’s storage capacity and massive parallel processing power.
  • Matillion ETL for Amazon Redshift delivers a rich orchestration environment to control every step in your data workflow. Build data load and transformation jobs, integrate with AWS services, schedule queries, and set up alerts and error-handling with an easy to use SQL-based tool.
  • Enable collaborative working across your development team with version control; annotation; variable management and re-use functionality; built-in permissions and audit logs.
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Try if for Free

We tried [Matillion ETL for Amazon Redshift] out for 14 days, it was for free. We had the experience that this [solution] is a fit, it’s what we need. We bought it, it took us some minutes to get it running, and after one hour we could use it and started developing everything we wanted. This is what the team loved to see, to get [the project] on track, be fast and flexible.

Dr.-Ing. Kevin Brechtel Project Manager, Siemens AG

Matillion has allowed us to play in the big data environment where we are moving over 10 million records per hour to create our enterprise data warehouse. It has also allowed us to go outside and fetch information from third-party sources and social media sites to create a 360-degree view of our customers.

Lobsang Moreno VP of Data Strategy, Thrive Market
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