The hybrid data platform allows organizations to deploy and scale artificial intelligence applications across multi-cloud and on-premises environments without moving sensitive assets
Cloudera, a hybrid data and AI platform provider, today announced Cloudera Anywhere Cloud™, its platform for building, deploying, and scaling production-grade data and artificial intelligence applications across multi-cloud and on-premises environments. Designed to operate standalone or complement existing data lakes, the system delivers a unified cloud experience wherever data resides.
The platform combines modular agility, self-service provisioning, and automated management with data control and sovereignty. Powered by an agentic copilot, Cloudera Anywhere Cloud enables teams to automate workflows and launch AI capabilities directly against proprietary data estates without moving sensitive assets.
Organizations face constraints from fragmented infrastructure, lengthy platform upgrade cycles, and data sovereignty requirements when attempting to operationalize AI. Recent research revealed 73% of IT leaders believe infrastructure performance constraints have hindered operational initiatives. Cloudera Anywhere Cloud addresses this by bringing cloud-native agility directly to enterprise data. The system features an outcome-driven interface that allows teams to focus on business use cases rather than navigating software mechanics. It is built on a modular architecture that enables organizations to deploy, govern, and scale independent AI and data services across public clouds, sovereign infrastructure, and private data centers through a single control plane.
“Enterprise AI has outgrown the public cloud-only model,” said Leo Brunnick, Chief Product Officer at Cloudera. “Organizations shouldn’t have to choose between innovation and control. Cloudera Anywhere Cloud brings the speed and flexibility of the cloud directly to enterprise data. This allows enterprises to accelerate AI initiatives while maintaining complete ownership of their data and intellectual property, all while optimizing the cost of their infrastructure, tokens, and business models.”
The platform enables organizations to accelerate AI-enhanced use cases and sovereign AI deployment to shrink project timelines and realize faster time to value. Users can optimize workload placement across public clouds, sovereign infrastructure, and private data centers to run applications based on business or regulatory priorities without copying data. The system maintains centralized zero-trust governance across distributed data estates for continuous enterprise compliance and digital sovereignty.
Customers can deploy modular data services through self-service marketplace blueprints, including Cloudera engines such as Spark, Kafka, or Trino, alongside open-source alternatives. The architecture leverages open interoperability with Apache Iceberg, Polaris catalog, and unified APIs to connect analytics engines without vendor lock-in. Agentic copilots convert plain-language requests into automated data workflows or infrastructure management across connected environments, streamlining operations for business and technical teams.
“Working with complex data environments every day, we know that moving from AI experimentation to production requires both the freedom to innovate and confidence that data remains governed and under our control,” said Sergio Rodríguez de Guzmán, CTO and Co-Founder at IXEN.ai, an artificial intelligence consulting and development firm. “Cloudera Anywhere Cloud gives our teams a consistent foundation for data, analytics, and AI across on-premises and cloud environments. We’re excited about its potential to help us accelerate the development of agentic AI capabilities while maintaining the governance, flexibility and control required at enterprise scale.”
Developers and data practitioners utilize a plain-language copilot to deploy first-party, partner, and open-source analytics capabilities. Every deployment maintains interoperability while inheriting enterprise governance policies for continuous compliance.
“Enterprises are racing to put AI agents on top of their data, but agents can’t reason over rows and joins alone,” said Weimo Liu, CEO at PuppyGraph, a graph analytics engine provider. “They need to query knowledge: ontology, entities, relationships, and context. With Cloudera Anywhere Cloud delivering trusted, Iceberg-based data across cloud, data center, and edge, PuppyGraph queries that same data as a knowledge graph in real time, with zero ETL and no data movement. Together, we enable every data platform team to become a knowledge team, running graph-powered AI on enterprise data wherever it lives.”