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Confluent & AWS Partner on Real-Time Cloud Data Streaming

Confluent & AWS Partner on Real-Time Cloud Data Streaming

Confluent, Inc. has just announced a five-year collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS), under which is both parties establish commitments to develop and implement joint go-to-market initiatives for cloud adoption and operations across hybrid environments.

Through this agreement, the data streaming platform Confluent Cloud, is available in AWS Marketplace as stated, and runs on AWS to unify management, security, and billing. In addition, Confluent and AWS intend to help organizations power their AWS services with real-time data to unlock rich customer experiences and improve backend operations.

“The strength of our collaboration with Confluent is amplified by our focus on jointly working backwards from customer needs. Our expanded strategic collaboration allows customers to migrate real-time streaming data workloads to the cloud faster with Confluent Cloud on AWS,” said Stephen Orban, General Manager, AWS Marketplace and Control Services, AWS.

As announced, the collaboration is design to allow companies migrate and connect data in real-time to services including Amazon Simple Storage Service (S3), Amazon Redshift, Amazon DynamoDB, Amazon Lambda among others, with 120+ pre-built connectors.

“To thrive in the modern world, organizations must tap into their data as it’s created. At the same time, they have more data than ever and it is spread across every facet of their business. Through our collaboration with AWS – which is significantly enhanced through this new agreement – we’re making it easier for customers to unlock data in motion everywhere so they can build real-time applications that enable analytical and operational workloads, across cloud and hybrid environments,” said Erica Schultz, President of Field Operations, Confluent.

Built on Apache Kafka®’s open source foundation, the new strategic open source project is said to be complete with Confluent Cloud’s fully managed service and it is intended to make it easier to adopt data streaming while reducing time to market and helping engineers spend more time focusing on projects that differentiate their business.