Cloudera enhances hybrid data platform

Data AI company Cloudera has enhanced its hybrid data and AI platform with features including capabilities to enhance performance, flexibility and collaboration across modern data architectures.

Automated optimisation of Apache Iceberg tables has accelerated query performance by up to 38% while reducing storage overhead by up to 36%.

Organisations can now also maximise their on-premises investment while dynamically extending their private data centres into the cloud with the Cloudera Cloud Bursting function, while expanded data sharing now enables secure access to live Iceberg tables across eternal platforms to preserve data integrity.

The enhanced platform meanwhile offers operational stability guarantees to enable customers to standardise mission-critical infrastructure while reducing risk. It also now provides simultaneous updates to on-premises and cloud deployments.

Cloudera Chief Product Officer Leo Brunnick said Cloudera’s customers have been clear that they will no longer accept trade-offs.

“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,” he said.

Recent research published by ADAPT found that only 8% of Australian Chief Data and Analytics Officers believe their organisation is optimised for AI data readiness. Cloudera Australia and New Zealand CTO Vini Cardoso said this is emerging as a significant issue as Australian enterprises seek 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,” he said. “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.”

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