A Cloudera, hybrid platform for data, analyses and AI, announced integration with theSnowflake, AI Data Cloud company, to bring companies a hybrid and open data lakehouse, powered by Apache Iceberg. Now, organizations can leverage the combination of Cloudera and Snowflake — two cutting-edge tools for ingestion, data processing and consumption — to obtain a single source of information, AI analyses and workloads.
Data is the most powerful asset of an institution. Drives informed decision-making, provides competitive advantage and reveals opportunities for innovation. One2022 studyKX and the Center for Economic and Business Research (CEBR) revealed that 80% of companies report higher revenues due to real-time data analysis and 98% report an increase in positive customer sentiment due to data utilization. However, to fully harness the power of data, companies need a single and unified source for storage, manage and govern all corporate information, regardless of where they reside
Cloudera has extended its Open Data Lakehouse interoperability to Snowflake, allowing customers continuous access sets to Cloudera's Data Lakehouse through its Apache Iceberg REST catalog.Customers benefit from an optimized data platform powered by Apache Iceberg, that allows them to ingest, prepare and process your data with the best tools in the category. Furthermore, Snowflake users can now query data stored in Cloudera's Ozone, a local object storage solution compatible with AWS S3, directly from Snowflake. The clients, now, have access to all major formats from a cohesive collaboration, in the local and as a platform, like Platform as a Service (PaaS) and Software as a Service (SaaS)
In addition to allowing greater interoperability between the two systems, Cloudera customers will experience the ease of Snowflake's Business Intelligence engine. The mechanism can access data from Cloudera's open data lakehouse without requiring data duplication or transfer, reducing complexity, simplifying operations while maintaining data integrity
Furthermore, this collaboration leads to a reduction in the total integrated cost of ownership for companies. The elimination of data and metadata silos, the rationalization of data pipelines and operational efforts are key factors in this cost reduction. These improvements help to provide AI analyses and use cases at scale more efficiently, further enhancing the value proposition for companies that use Cloudera and Snowflake. This strategic integration not only optimizes analytical workflows, but also provides a robust framework for organizations to drive innovation and gain competitive advantages in their respective markets
Additional benefits of this integration include:
- Managed Iceberg TablesIceberg tables improve data performance and reliability, allowing joint clients to unlock the full potential of their data through better organization, faster queries and simplified data management, regardless of where they are stored
- The best mechanismsjoint clients benefit from top-notch mechanisms for ingestion, prepare and manage your data, allowing the continuous management of artificial intelligence (AI) workloads and business intelligence
- Unified Security and Governancethis integration consolidates the security and governance of data throughout its lifecycle. Joint clients can implement consistent security measures, track the origin and movement of data and manage metadata on a single platform, either locally or in the cloud
"By extending our open data lakehouse resources through Apache Iceberg to Snowflake, we are allowing our clients to not only optimize their data workflows, but also open up new opportunities for innovation, efficiency and growth, affirmsAbhas Ricky, strategy director of Cloudera. "This will help customers simplify their data architecture", minimize data pipelines and reduce the total cost of ownership of your data assets, while reducing security risks. Together, Snowflake and Cloudera are bringing the next era of data-driven decision making to all modern organizations.”
"Apache Iceberg is a leading choice for customers who want open standards for data", and Cloudera has been an integral part of the Iceberg project, accountTarik Dwiek, head of technology alliances at Snowflake"Our partnership expands what is possible for clients who choose standardization in Iceberg tables". We are excited to break down silos and provide a unified hybrid cloud data experience with multifunctional analytics for all our customers.”
"Through this collaboration, customers gain access to a robust and unified data management platform that provides a single source of truth for all their data, "whether in the cloud or on-premises", affirmsSanjeev Mohan, analyst at SanjMo"This allows them to simplify and protect their data operations", while analyzing and extracting insights efficiently throughout the data lifecycle – from ingestion to AI and analysis. It is a strategic change by two industry giants to partner in a way that will add immediate value to the companies.”
Furthermore, reaffirming the commitment to the advancement of Iceberg adoption, Cloudera is pleased to announce the technical preview of Cloudera Lakehouse Optimizer. This new service autonomously optimizes your Iceberg tables, further reducing costs and significantly improving the performance of your lakehouse. To learn more about this technical preview, clickhere.
