Cloudera Expands Hybrid Data Infrastructure, Enhancing Long-term Stability, Flexible Scalability, and Open Data Interoperability
Cloudera announced an update to its hybrid data and AI platform, introducing features like long-term support until 2032 and the Cloudera Lakehouse Optimizer. This allows enterprises to reduce infrastructure costs and focus resources on AI investments.
📋 Article Processing Timeline
- 📰 Published: April 9, 2026 at 20:00
- 🔍 Collected: April 9, 2026 at 11:30
- 🤖 AI Analyzed: April 20, 2026 at 09:46 (262h 15m after Collected)
Cloudera Inc. (Location: Chuo-ku, Tokyo, President and Executive Officer Yuji Yamaga), the only company providing AI for data everywhere, announced today the latest updates regarding functional enhancements to its hybrid data and AI platform. This enables companies to smoothly modernize their systems while leveraging existing environments, keep infrastructure costs down, and rapidly advance analysis and AI utilization across the entire data infrastructure.
Companies are under pressure to advance the modernization of their data infrastructure while managing costs and risks, leading to increased operational loads. As Gartner predicts that AI spending will reach $3.33 trillion by 2027, frequent upgrades, rising infrastructure costs, and system complexity are hindering innovation, creating a situation where sufficient resources cannot be allocated to high-value-added initiatives like analysis and AI.
Cloudera helps resolve these challenges by providing an infrastructure that can be used stably over the long term. In addition to long-term support until 2032, being able to use it as a single integrated platform across the cloud and data center reduces the operational burden, enabling companies to allocate more resources to promoting AI utilization.
With this update, Cloudera provides long-term stability, flexible scalability across the cloud and data center, and open data linkage on a single platform, eliminating the need for data movement or large-scale migrations.
Key Features:
- Realizing Stable Operations: Provides a highly stable and secure foundation for enterprise data environments. This standardizes the infrastructure supporting critical systems, reducing risks while alleviating the costs and burdens associated with frequent upgrades. It also enables platform operations aligned with long-term investment plans.
- Smooth Modernization: Since updates can be applied simultaneously to both on-premises and the cloud, it realizes consistent infrastructure operations across the entire hybrid environment. As a result, performance improvements and adaptation to changing regulations can be advanced without spending money on rebuilding systems.
This update also added the following new features that enhance the performance, flexibility, and data linkage of the data infrastructure.
- Cloudera Lakehouse Optimizer: Automatically optimizes Apache Iceberg tables to improve query performance while minimizing manual work and reducing storage waste.
- Cloudera Cloud Bursting: Enables dynamic scaling of data workloads from on-premises to the cloud as needed.
Companies are under pressure to advance the modernization of their data infrastructure while managing costs and risks, leading to increased operational loads. As Gartner predicts that AI spending will reach $3.33 trillion by 2027, frequent upgrades, rising infrastructure costs, and system complexity are hindering innovation, creating a situation where sufficient resources cannot be allocated to high-value-added initiatives like analysis and AI.
Cloudera helps resolve these challenges by providing an infrastructure that can be used stably over the long term. In addition to long-term support until 2032, being able to use it as a single integrated platform across the cloud and data center reduces the operational burden, enabling companies to allocate more resources to promoting AI utilization.
With this update, Cloudera provides long-term stability, flexible scalability across the cloud and data center, and open data linkage on a single platform, eliminating the need for data movement or large-scale migrations.
Key Features:
- Realizing Stable Operations: Provides a highly stable and secure foundation for enterprise data environments. This standardizes the infrastructure supporting critical systems, reducing risks while alleviating the costs and burdens associated with frequent upgrades. It also enables platform operations aligned with long-term investment plans.
- Smooth Modernization: Since updates can be applied simultaneously to both on-premises and the cloud, it realizes consistent infrastructure operations across the entire hybrid environment. As a result, performance improvements and adaptation to changing regulations can be advanced without spending money on rebuilding systems.
This update also added the following new features that enhance the performance, flexibility, and data linkage of the data infrastructure.
- Cloudera Lakehouse Optimizer: Automatically optimizes Apache Iceberg tables to improve query performance while minimizing manual work and reducing storage waste.
- Cloudera Cloud Bursting: Enables dynamic scaling of data workloads from on-premises to the cloud as needed.