Cloudera unveils Anywhere Cloud, a unified platform to build and run data and AI apps across public clouds, sovereign infrastructure, and on-premises data centers from a single control plane, without moving data.

Supported services include Spark, Kafka, and Trino, plus open-source or partner components, with interoperability via Apache Iceberg, the Polaris catalog, and uniform APIs.

The platform can be deployed standalone or with existing data lakes, aiming to shorten AI deployment timelines while meeting governance, data sovereignty, and cost constraints.

Cloudera highlights benefits like faster time-to-value, cost optimization, IP protection, reduced operational friction, and digital sovereignty.

Customer Design Partners — ADMIRAL Technologies, ExxonMobil, IQVIA, IXEN.ai, and Mastercard — validate the platform in regulated or high-scale contexts.

A statement from Leo Brunnick, Cloudera’s Chief Product Officer, emphasizes balancing innovation with control and the advantages of ownership and cost optimization.

The solution is showcased at Cloudera’s EVOLVE event in Singapore, with opportunities to register for related events and webinars.

Enterprise AI architecture for hybrid environments is outlined, detailing a layered flow from frontend to API, agents, data stores, and governance, with emphasis on security and observability.

Media inquiries are guided by contact information for Jessica Hohn-Cabana at Cloudera.

Market context notes widespread fragmentation, slow platform upgrades, and data sovereignty pressures hindering AI, with 73% of IT leaders citing performance constraints.

Additional insight shows over 90% of organizations paused or canceled AI projects due to data governance issues, underscoring the need for governance-driven platforms.

Anywhere Cloud addresses the gap between experimentation and production by mitigating fragmentation, upgrade delays, and sovereignty constraints, aligning with the 73% performance concern.