At this time enterprises can leverage the mix of Cloudera and Snowflake—two best-of-breed instruments for ingestion, processing and consumption of knowledge—for a single supply of fact throughout all information, analytics, and AI workloads.
However now AWS clients will achieve extra flexibility, information utility, and complexity, supporting the fashionable information structure. All this by making it simpler for purchasers to attach their workloads with Snowflake, Cloudera, and distinctive AWS companies corresponding to Amazon Easy 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.
Our clients have spoken, they’re searching for the next:
- Scalable, Price-Environment friendly Efficiency: Dynamically scale analytics and AI workloads whereas optimizing prices utilizing Snowflake’s compute engine and Cloudera’s Iceberg-powered lakehouse
- Seamless Ecosystem Integration: Allow unified workflows throughout AWS companies and hybrid/multi-cloud setups with out information silos.
- Safe, Actual-Time Insights: Mix strong governance with real-time analytics for environment friendly, safe information administration and AI-driven insights.
Our joint collaboration will allow the next:
- Seamless Knowledge Sharing and Interoperability: The combination allows AWS clients to leverage Cloudera’s information lakehouse capabilities alongside Snowflake’s AI Knowledge Cloud, facilitating unified information entry and sharing throughout platforms
- Enhanced AI/ML Efficiency: The partnership optimizes information workflows for AI/ML functions by enabling Cloudera’s on-premises or hybrid information units working AWS to combine with Snowflake’s analytics capabilities, decreasing latency and bettering insights
- Maximized Cloud Investments: Clients can make the most of Snowflake for particular analytics use circumstances whereas persevering with to handle broader information operations with Cloudera, maximizing their funding in AWS infrastructure by combining the strengths of each platforms
- Assist for Multi-Cloud Methods: The collaboration simplifies bridging information saved on AWS with Snowflake, supporting multi-cloud methods and enhancing information mobility throughout environments with out vendor lock-in
- Scalable and Safe Knowledge Administration: Cloudera’s enterprise-grade safety and governance capabilities prolong to information shared with Snowflake, guaranteeing compliance and scalability for purchasers dealing with delicate information
There are a number of new un-locked use circumstances. For instance: An AWS buyer utilizing Cloudera for hybrid workloads can now prolong analytics workflows to Snowflake, gaining deeper insights with out transferring information throughout infrastructures. Or now clients can mix Cloudera’s uncooked information processing and Snowflake’s analytical capabilities to construct environment friendly AI/ML pipelines. The use circumstances are boundless and will prolong past the bounds of even our collective firms’ imaginations.
“This helps speed up enterprises’ lakehouse and analytics deployments throughout the deployment zone of selection, type issue of selection and compute engine of selection, with the most effective TCO. By this partnership with AWS and Snowflake, clients will now be capable to construct mission important enterprise functions as soon as and deploy anyplace – public cloud, non-public cloud, their VPC, and share information property between practitioners and information groups” mentioned Abhas Ricky, Chief Technique Officer of Cloudera.
“We’re thrilled to be working alongside AWS and Snowflake to ship a novel alignment amongst three highly effective firms. The optimistic suggestions from our clients affirms we’re delivering significant influence,” mentioned Michelle Hoover, SVP International Alliances & Channels of Cloudera.
Earlier this 12 months Cloudera introduced the enlargement of its Enterprise AI ecosystem with companions Pinecone, Anthropic, Google, Amazon, and Snowflake. This initiative brings collectively a various group of industry-leading AI suppliers to ship complete, end-to-end AI options for clients that assist to maximise the worth of AI.
By extension the REST Catalog ecosystem broadens entry to information throughout a number of distributors so now clients don’t have to choose and select distributors however have the most effective of every by a single level of entry.
Learn this weblog to study extra about how Amazon EMR seamlessly integrates with Cloudera’s lakehouse for safe information sharing and interoperability powered by Iceberg REST Catalog.
