en.Wedoany.com Reported - April 8, 2026, San Jose, California – Cloudera today announced significant updates to its hybrid data and AI platform. These enhancements help businesses simplify modernization, reduce infrastructure costs, and accelerate the application of data assets in analytics and AI.
When upgrading data platforms, enterprises face pressure to manage costs and risks, which increases operational complexity. With growing AI investments, Gartner predicts they will reach $3.33 trillion by 2027. Frequent upgrades, high infrastructure costs, and increasingly complex systems can hinder innovation and divert resources.
Cloudera addresses these challenges by providing a long-term stable and predictable data environment. The platform supports extensions until 2032 and offers a unified experience across cloud and on-premises data centers, helping organizations reduce operational burdens and focus more on advancing AI initiatives.
These updates strengthen Cloudera's ability to integrate long-term stability, elastic scaling, and open interoperability within a single architecture, without data migration or disruptive changes. Key features include guaranteed operational stability, providing a solid foundation for enterprise data environments, supporting standardized infrastructure, reducing risk, and eliminating expensive upgrade cycles.
Seamless modernization features provide synchronized updates for on-premises and cloud deployments, ensuring consistency of hybrid data assets, helping organizations improve performance and adapt to regulatory changes, avoiding re-platforming costs. New features also enhance the performance, flexibility, and collaboration capabilities of the data architecture. For example, Apache Iceberg table auto-optimization powered by the Cloudera Lakehouse Optimizer can improve query performance by 38% and reduce storage overhead by up to 36%.
Cloudera Cloud Bursting allows organizations to dynamically scale private data centers to the cloud, achieving on-demand elasticity without data replication or application rewrites. Enhanced data sharing capabilities enable external platforms to securely access real-time Iceberg tables, reducing data silos and maintaining governance. "Our customers no longer accept compromise," said Leo Brunnick, Chief Product Officer at Cloudera. "They want cloud flexibility, data center control, and the ability to scale without disruption. These updates deliver all three on a single, unified platform built for modern data and AI."
Cloudera is showcasing its latest platform capabilities this week at Iceberg Summit 2026. The company is a hybrid data and AI platform provider dedicated to bringing AI to where the data resides, offering a unified experience across cloud, data centers, and edge, based on open-source foundations. It helps enterprises control data, enhance security and insights, and supports organizations across various industries worldwide in optimizing decisions.
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