Cloudera, the only company bringing AI to data anywhere, announced significant advancements to its hybrid data and AI platform. These updates help enterprises modernize seamlessly, lower infrastructure costs, and accelerate analytics and AI across their entire data estate.
Enterprises face mounting pressure to modernize data platforms while managing cost and risk, creating significant operational strain. As AI investment accelerates, projected by Gartner to reach $3.33 trillion by 2027, frequent upgrade cycles, rising infrastructure costs, and growing complexity hinder innovation and divert resources from high-value analytics and AI.
Cloudera addresses these challenges by providing long-term stability and a predictable foundation for enterprise data environments. With extended support until 2032 and a unified platform experience across cloud and data centers, Cloudera enables organizations to reduce operational overhead and focus on advancing AI initiatives.
“Our customers no longer accept trade-offs,” said Mr. Leo Brunnick, Chief Product Officer at Cloudera. “They want the flexibility of the cloud, the control of the data center, and the ability to scale without disruption. This update delivers all three on a single, unified platform built for modern data and AI.”
These advancements reinforce Cloudera’s position as the only platform to offer long-term stability, elastic scale across cloud and data centers, and open interoperability in a single architecture, without requiring data movement or disruptive migrations.
Key features include:
- Guaranteed operational stability: Offers a stable, secure foundation for enterprise data environments, allowing organizations to standardize mission-critical infrastructure, reduce risk, and eliminate costly upgrade cycles while aligning platform strategy with long-term investments.
- Modernize seamlessly: Provides simultaneous updates to on-premises and cloud deployments, ensuring consistency across the entire hybrid data estate. This enables organizations to boost performance and meet changing regulatory requirements without the expense of re-platforming.
The update also introduces new capabilities to enhance performance, flexibility, and data collaboration across modern data architectures. Automated optimization of Apache Iceberg tables, powered by Cloudera Lakehouse Optimizer, accelerates query performance by 38% and reduces storage overhead by up to 36% with minimal manual effort. Organizations can also maximize their on-prem investment while dynamically extending their private data centers into the cloud with Cloudera Cloud Bursting, unlocking on-demand elasticity without data duplication or application rewrites. Expanded data sharing enables secure access to live Iceberg tables across external platforms without copying or duplicating data, reducing silos, preserving data integrity, and maintaining governance.
“In India, enterprises are no longer just modernizing their data platforms, they are demanding long‑term stability to scale analytics and AI with confidence,” said Mr. Mayank Baid, Regional Vice President, India and South Asia at Cloudera. “With the latest advancements to Cloudera’s hybrid data and AI platform, we are giving organizations the flexibility to operate seamlessly across cloud and data centers while optimizing cost efficiencies. This allows enterprises to focus on extracting real business value from data and AI, securely, predictably, and at scale, without disruption to critical operations.”
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