Cloudera announces interoperability ecosystem with AWS and Snowflake

Cloudera has launched an interoperability ecosystem with AWS and Snowflake to enhance data access, sharing, and AI/ML workflows. The collaboration enables seamless data integration across platforms, improves cloud investment, and boosts AI/ML performance.

This partnership allows customers to connect Cloudera's data lakehouse with Snowflake’s analytics and AWS services, facilitating scalable, secure, and real-time insights. It also supports multi-cloud strategies and simplifies data management across environments, maximizing the value of AI while reducing complexity.

AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture. All this by making it easier for customers to connect their workloads with Snowflake, Cloudera, and unique AWS services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Relational Database Service (Amazon RDS), Amazon Elastic Compute Cloud (Amazon EC2), Amazon EMR and Amazon Athena.

Customers usually seek the following -

• Scalable, Cost-Efficient Performance: Dynamically scale analytics and AI workloads while optimizing costs using Snowflake’s compute engine and Cloudera’s Iceberg-powered lakehouse
• Seamless Ecosystem Integration: Enable unified workflows across AWS services and hybrid/multi-cloud setups without data silos.
• Secure, Real-Time Insights: Combine robust governance with real-time analytics for efficient, secure data management and AI-driven insights.

The joint collaboration will enable the following -

• Seamless Data Sharing and Interoperability: The integration enables AWS customers to leverage Cloudera’s data lakehouse capabilities alongside Snowflake’s AI Data Cloud, facilitating unified data access and sharing across platforms
• Enhanced AI/ML Performance: The partnership optimizes data workflows for AI/ML applications by enabling Cloudera’s on-premises or hybrid data sets running AWS to integrate with Snowflake’s analytics capabilities, reducing latency and improving insights
• Maximized Cloud Investments: Customers can utilize Snowflake for specific analytics use cases while continuing to manage broader data operations with Cloudera, maximizing their investment in AWS infrastructure by combining the strengths of both platforms
• Support for Multi-Cloud Strategies: The collaboration simplifies bridging data stored on AWS with Snowflake, supporting multi-cloud strategies and enhancing data mobility across environments without vendor lock-in
• Scalable and Secure Data Management: Cloudera’s enterprise-grade security and governance capabilities extend to data shared with Snowflake, ensuring compliance and scalability for customers handling sensitive data

“This helps accelerate enterprises’ lakehouse and analytics deployments across the deployment zone of choice, form factor of choice and compute engine of choice, with the best TCO. Through this partnership with AWS and Snowflake, customers will now be able to build mission critical enterprise applications once and deploy anywhere – public cloud, private cloud, their VPC, and share data assets between practitioners and data teams” said Abhas Ricky, Chief Strategy Officer of Cloudera. 

Earlier this year Cloudera announced the expansion of its Enterprise AI ecosystem with partners Pinecone, Anthropic, Google, Amazon, and Snowflake. This initiative brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for customers that help to maximize the value of AI.