Cloudera, Snowflake and AWS partner to unlock the future of data
AWS enterprise customers can now leverage the combined power of Cloudera and Snowflake for a unified source of truth across all data, analytics, and Artificial Intelligence (AI) workloads. AWS customers will benefit from increased flexibility, data utility, and reduced complexity, supporting modern data architecture by seamlessly connecting their workloads with Snowflake, Cloudera, and AWS services such as Amazon S3, Amazon EKS, Amazon RDS, Amazon EC2, Amazon EMR, and Amazon Athena.
Abhas Ricky, Chief Strategy Officer of Cloudera, said, “This partnership accelerates enterprises’ lakehouse and analytics deployments across various deployment zones, form factors, and compute engines, offering the best TCO. Customers can now build mission-critical enterprise applications once and deploy anywhere – public cloud, private cloud, their VPC – while sharing data assets between practitioners and data teams.”
“We’re thrilled to collaborate with AWS and Snowflake, delivering a unique alignment among three powerful companies. The positive feedback from our customers affirms we’re making a meaningful impact,” said Michelle Hoover, SVP Global Alliances & Channels of Cloudera.
Customer needs addressed:
- Scalable, Cost-Efficient Performance:Dynamically scale analytics and AI workloads while optimising 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.
Joint collaboration benefits:
- Seamless Data Sharing and Interoperability: AWS customers can leverage Cloudera’s data lakehouse capabilities alongside Snowflake’s AI Data Cloud, facilitating unified data access and sharing across platforms.
- Enhanced AI/ML Performance: Optimise data workflows for AI/ML applications by integrating Cloudera’s on-premises or hybrid data sets with Snowflake’s analytics capabilities, reducing latency and improving insights.
- Maximised Cloud Investments: Utilise Snowflake for specific analytics use cases while managing broader data operations with Cloudera, maximising AWS infrastructure investments.
- Support for Multi-Cloud Strategies: Simplify 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: Extend Cloudera’s enterprise-grade security and governance capabilities to data shared with Snowflake, ensuring compliance and scalability for sensitive data.
New use cases:
- An AWS customer using Cloudera for hybrid workloads can now extend analytics workflows to Snowflake, gaining deeper insights without moving data across infrastructures.
- Customers can now combine Cloudera’s raw data processing with Snowflake’s analytical capabilities to build efficient AI/ML pipelines.
Earlier this year, Cloudera expanded its Enterprise AI ecosystem with partners Pinecone, Anthropic, Google, Amazon, and Snowflake. This initiative brings together industry-leading AI providers to deliver comprehensive, end-to-end AI solutions, maximising the value of AI for customers.
Read Cloudera’s blog to learn more about how Amazon EMR seamlessly integrates with Cloudera’s lakehouse for secure data sharing and interoperability powered by Iceberg REST Catalog.
