Cloudera advances hybrid data platform with long-term stability, elastic scale, and open data interoperability
Cloudera, the only company bringing Artificial Intelligence (AI) to data anywhere, today announced significant advancements to its hybrid data and AI platform. These updates help enterprises modernise seamlessly, lower infrastructure costs, and accelerate analytics and AI across their entire data estate.
Enterprises face mounting pressure to modernise 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 centres, Cloudera enables organisations to reduce operational overhead and focus on advancing AI initiatives.
These advancements reinforce Cloudera’s position as the only platform to offer long-term stability, elastic scale across cloud and data centres, 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 organisations to standardise mission-critical infrastructure, reduce risk, and eliminate costly upgrade cycles while aligning platform strategy with long-term investments.
- Modernise seamlessly: Provides simultaneous updates to on-premises and cloud deployments, ensuring consistency across the entire hybrid data estate. This enables organisations 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 optimisation of Apache Iceberg tables, powered by Cloudera Lakehouse Optimiser, accelerates query performance by 38% and reduces storage overhead by up to 36% with minimal manual effort. Organisations can also maximise their on-prem investment while dynamically extending their private data centres 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.
“Our customers no longer accept trade-offs,” said Leo Brunnick, Chief Product Officer at Cloudera. “They want the flexibility of the cloud, the control of the data centre, and the ability to scale without disruption. This update delivers all three on a single, unified platform built for modern data and AI.”
Vini Cardoso (pictured), Chief Technology Officer of Cloudera Australia and New Zealand, stated, “Many Australian enterprises are looking to accelerate their AI initiatives. However, as requirements evolve, these organisations are often constrained by the need to maintain the stability of data platforms supporting core operations, ranging from customer systems to regulatory reporting. Our latest upgrades address these challenges by eliminating forced upgrade cycles, enabling on-demand scaling without moving sensitive data, and delivering faster, governed insights within a secure hybrid environment. For highly regulated organisations, this provides a sovereign, trusted foundation to scale AI with confidence.”
Cloudera is showcasing its latest platform capabilities this week at Iceberg Summit 2026. To learn more, visit cloudera.com or visit Cloudera at booth #G4 at the event.
