At the moment, enterprises can leverage the mix of Cloudera and Snowflake, two of the best-in-class instruments for information ingestion, processing, and consumption, to achieve a single supply of reality throughout all information workloads. , evaluation and synthetic intelligence.
However now AWS clients will acquire extra flexibility, information utility, and complexity by supporting trendy information structure. All this by making it simpler for purchasers to attach their workloads with Snowflake, Cloudera and distinctive AWS providers equivalent 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 and cost-effective efficiency: Dynamically scale AI and analytics workloads whereas optimizing prices utilizing Snowflake’s compute engine and Cloudera’s Iceberg-powered lake home.
- Seamless ecosystem integration: Allow unified workflows throughout AWS providers and hybrid/multi-cloud configurations with out information silos.
- Safe and real-time data: Mix robust governance with real-time analytics for environment friendly, safe information administration and AI-powered insights.
Our joint collaboration will enable the next:
- Interoperability and seamless information change: The mixing permits AWS clients to leverage the capabilities of Cloudera’s information lakehouse alongside Snowflake’s AI Information Cloud, facilitating unified information entry and sharing throughout platforms.
- Improved AI/ML efficiency: Partnership optimizes information workflows for AI/ML purposes by enabling Cloudera hybrid or on-premises datasets operating AWS to combine with Snowflake analytics capabilities, decreasing latency and enhancing insights .
- Maximized cloud investments: Clients can use Snowflake for particular analytics use instances whereas persevering with to handle broader information operations with Cloudera, maximizing their AWS infrastructure funding by combining the strengths of each platforms.
- Help for multi-cloud methods: The collaboration simplifies connecting information saved in AWS with Snowflake, supporting multi-cloud methods and enhancing information mobility between environments with out vendor lock-in.
- Scalable and safe information 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 use instances unlocked. For instance: An AWS buyer utilizing Cloudera for hybrid workloads can now prolong analytics workflows to Snowflake, gaining deeper insights with out shifting information between infrastructures. Or now clients can mix Cloudera’s uncooked information processing and Snowflake’s analytics capabilities to create environment friendly AI/ML pipelines. The use instances are limitless and may prolong past the boundaries of even the creativeness of our collective firms.
“This helps speed up enterprises’ Lakehouse and analytics deployments throughout the deployment zone of selection, kind issue of selection, and compute engine of selection, with the very best TCO. “Via this partnership with AWS and Snowflake, clients will now be capable of construct mission-critical enterprise purposes as soon as and deploy them anyplace: public cloud, personal cloud, their VPC, and share information belongings throughout information professionals and groups,” he stated. Abhas Ricky, Chief Technique Officer. by Cloudera.
“We’re delighted to work along with AWS and Snowflake to ship a novel alignment between three highly effective firms. Constructive suggestions from our clients affirms that we’re making a major impression,” stated Michelle Hoover, senior vp of world channels and alliances at Cloudera.
Earlier this yr, 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 distributors to ship complete end-to-end AI options for purchasers that assist maximize the worth of AI.
By extension, the REST catalog ecosystem expands information entry throughout a number of suppliers, so clients now haven’t got to decide on suppliers, however reasonably have the very best of every by way of a single entry level.
learn this weblog to be taught extra about how Amazon EMR integrates seamlessly with Cloudera’s Lakehouse for safe information sharing and interoperability powered by Iceberg REST Catalog.
