A Cloudera, a hybrid platform for data, analytics and AI, has announced integration withSnowflakeAI Data Cloud company, to bring to companies a hybrid and open data lakehouse, powered by Apache Iceberg. Now, organizations can leverage the combination of Cloudera and Snowflake — two leading tools for data ingestion, processing, and consumption — to obtain a single source of information, analytics, and AI workloads.
Data is the most powerful asset of an institution. It drives informed decision-making, provides a 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, unified source to store, manage, and govern all corporate information, regardless of where it resides.
Cloudera extended its Open Data Lakehouse interoperability to Snowflake, allowing customers continuous access to Cloudera's Data Lakehouse through its REST Apache Iceberg catalog.Customers benefit from an optimized data platform powered by Apache Iceberg, enabling them to ingest, prepare, and process their data with the best tools in the category. Additionally, Snowflake users can now query data stored in Cloudera's Ozone, an on-premises object storage solution compatible with AWS S3, directly from Snowflake. Customers now have access to all major formats through a cohesive collaboration, on-site and as a platform, such as Platform as a Service (PaaS) and Software as a Service (SaaS).
In addition to enabling greater interoperability between the two systems, Cloudera's clients will experience the ease of Snowflake's Business Intelligence mechanism. The mechanism can access data from Cloudera's open data lakehouse without requiring duplication or data transfer, reducing complexity, simplifying operations, and maintaining data integrity.
Furthermore, this collaboration leads to a reduction in the total cost of ownership for companies. The elimination of data and metadata silos, the streamlining of data pipelines, and operational efforts are key factors in this cost reduction. These improvements help provide AI analytics and use cases at scale more efficiently, further enhancing the value proposition for companies using 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 Tables: Iceberg tables improve data performance and reliability, enabling joint customers to unlock the full potential of their data through better organization, faster queries, and simplified data management, regardless of where it is stored;
- The best mechanisms: Joint customers benefit from best-in-class mechanisms to ingest, prepare, and manage their data, enabling seamless management of artificial intelligence (AI) and business intelligence workloads;
- Unified Security and GovernanceThis integration consolidates data security and governance throughout its entire lifecycle. Joint clients can implement consistent security measures, track the origin and movement of data, and manage metadata on a single platform, on-premises or in the cloud.
“By extending our open data lakehouse capabilities through Apache Iceberg to Snowflake, we are enabling our customers to not only optimize their data workflows, but also unlock new opportunities for innovation, efficiency and growth,” saidAbhas Ricky, strategy director at Cloudera.“This will help customers simplify their data architecture, minimize data pipelines, and lower the total cost of ownership of their data estate, while mitigating security risks. Together, Snowflake and Cloudera are bringing the next era of data-driven decision making to every modern organization.”
“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,” saidTarik Dwiek, Head of Technology Alliances at Snowflake.“Our partnership expands what’s possible for customers who choose to standardize on Iceberg desks. We’re excited to break down silos and deliver a unified hybrid data cloud experience with cross-functional analytics for all of our customers.”
“Through this collaboration, customers gain access to a robust, unified data management platform that provides a single source of truth for all their data, whether in the cloud or on-premises,” he said.Sanjeev Mohan, analyst at SanjMo.“This enables them to simplify and secure their data operations while efficiently analyzing and extracting insights across the entire data lifecycle – from ingestion to AI and analytics. It’s a strategic move by two industry giants to partner in a way that will deliver immediate value to businesses.”
Furthermore, reaffirming the commitment to advancing the adoption of Iceberg, Cloudera is pleased to announce the technical preview of the Cloudera Lakehouse Optimizer. This new service autonomously optimizes your Iceberg tables, further reducing costs and significantly improving your lakehouse performance. To learn more about this technical preview, clickhere.