Cloudera unveils next phase of open data lakehouse for private cloud

Cloudera, an enterprise cloud vendor, announced today the unveiling of the next phase of its open data lakehouse for private cloud. This development will significantly improve on-premises data experiences with trusted analytics and AI on a larger scale. A key advancement is that Cloudera is now the sole provider to present an open data lakehouse with Apache Iceberg for both public and private clouds. This unique offering will help customers unlock the enterprise AI potential of their data.

Recent research from Cloudera suggests that 53% of organisations in the U.S. are using Generative AI technology, while 36% are in the preliminary stages of investigating AI for potential application in 2024. Within the Asia Pacific region, 45% of data leaders are invested in enhancing their data's readiness for AI and analytics, as determined by Informatica. However, several enterprises are facing roadblocks to tap into their data's business value due to distributed data infrastructures, governance risks, or security concerns.

With the introduction of Apache Iceberg on private clouds, Cloudera offers organisations a solution to these challenges. It enables rapid scaling of enterprise AI deployments for greater value generation. Apache Iceberg, an open-source, high-performance table format for vast analytic tables, allows companies to apply AI efficiently to the wealth of vital data in the cloud and on-premises, paving the way for unique use cases. Additionally, Cloudera is the sole provider capable of running a wholly air-gapped large language model (LLM) deployment, delivering better performance and security while decreasing operational costs.

A series of further updates to the Cloudera platform include zero downtime upgrades (ZDU), Transport Layer Security (TLS) 1.2 enhancements, new Apache Ozone functionalities like quotas, snapshots, and disaster recovery improvements, and broadened support for integrations such as Python 3.10, RHEL 9.1, RHEL 8.8 FIPS, SLES 15 SP4, Oracle 8.8, and JDK 17.

Dipto Chakravarty, Chief Product Officer at Cloudera, said: "Cloudera's mission is to empower customers to transform data anywhere into actionable insights by enabling it with AI. By giving them a trusted data foundation for analytics, this next phase of cloud-native solutions unlocks endless possibilities for building innovative AI applications."

Sanjeev Mohan, Principal at SanjMo, pointed out: "In this AI-powered era, we'll continue to see formidable AI applications emerge that significantly increase the business value of enterprise data. For organizations to capitalize on this technological gold rush, data cannot be locked away in company data centres. Enterprises need a data management strategy that enables them to transform complex data anywhere into actionable insights through a comprehensive, open, and hybrid platform."

The new phase has already received positive feedback from Cloudera's customers. For instance, Dr. David Hardoon, Group Chief Data & AI Officer at Union Bank of the Philippines, said: "Utilizing platforms such as Cloudera has allowed us to accelerate our ability to develop insightful models that ultimately create more value for our customers." Similarly, Fred Roteseree, Head of Data Analytics at Krungsri Bank, emphasized how Cloudera AI technology enabled them to have a "seamless and personalized experience for our customers through revolutionary data-driven solutions."