Amazon Redshift Integration for Apache Spark
Build Apache Spark applications that read and write data from Amazon Redshift
Why Amazon Redshift Integration for Apache Spark?
Benefits of Amazon Redshift
Enhance Apache Spark analytics with Amazon Redshift data
Access Amazon Redshift data with minimal setup
Enhance performance and security with an Amazon certified connector
How it works

Use cases
Build ETL, ML, and interactive applications
Connect to your Amazon Redshift data warehouse
Run queries in seconds
AWS certified connector for immediate use
Customers
Corey Johnson, Data Architect Manager - Huron Consulting

Huron is a global professional services firm that collaborates with clients to put possible into practice by creating sound strategies, optimizing operations, accelerating digital transformation, and empowering businesses and their people to own their future.
"We empower our engineers to build their data pipelines and applications with Apache Spark using Python and Scala. We wanted a tailored solution that simplified operations and delivered faster and more efficiently for our clients and that’s what we get with the new Amazon Redshift Integration for Apache Spark."
Alcuin Weidus, Sr Principal Data Architect - GE Aerospace

GE Aerospace is a global provider of jet engines, components, and systems for commercial and military aircraft. The company has been designing, developing, and manufacturing jet engines since World War I.
“GE Aerospace uses AWS analytics and Amazon Redshift to enable critical business insights that drive important business decisions. With the support for auto-copy from Amazon S3, we can build simpler data pipelines to move data from Amazon S3 to Amazon Redshift. This accelerates our data product teams’ ability to access data and deliver insights to end users. We spend more time adding value through data and less time on integrations.”
Neema Raphael, Chief Data Officer - Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global financial institution that delivers a broad range of financial services across investment banking, securities, investment management and consumer banking to a large and diversified client base that includes corporations, financial institutions, governments, and individuals.
"Our focus is on providing self-service access to data for all of our users at Goldman Sachs. Through Legend, our open source data management and governance platform, we enable users to develop data-centric applications and derive data-driven insights as we collaborate across the financial services industry. With Amazon Redshift integration for Apache Spark, our data platform team will be able to access Amazon Redshift data with minimal manual steps—allowing for zero-code ETL that will increase our ability to make it easier for engineers to focus on perfecting their workflow as they collect complete and timely information. We expect to see a performance improvement of applications and improved security as our users can now easily access the latest data in Amazon Redshift.”
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