HPE Ezmeral cloud-native analytics and data lakehouse platform optimises data-intensive workloads

Unleash your data’s full potential with HPE Ezmeral.  Built from the ground up to be open and hybrid, the HPE Ezmeral cloud-native analytics and data lakehouse platform will help you unify, modernise and analyse all of your data, from edge-to-cloud, wherever it’s stored.


Industry-first Kubernetes-native object store optimised for high-performance analytics to accelerate data-first modernisation from edge to cloud


Achieve one platform with a wide range of analytical and ML tools


Industry’s first hybrid analytics and ML solution allows enterprises to scale up data lakehouses on-premises

Read the solution brief
A Kubernetes container orchestration platform designed to deploy cloud-native and non-cloud-native applications

HPE Ezmeral Runtime Enterprise provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases on bare metal or VMs.

  • Run on bare-metal, VMs, in any cloud or at the edge
  • 100% open-source Kubernetes
  • Multi-cluster Kubernetes management
  • Accelerate large-scale deployments with containers
  • Pre-integrated with persistent container storage
  • Enterprise-grade security and control
  • On-demand provisioning
Data Ops speed and agility from an open analytics and data management platform

Integrates and transforms multi-structured data across distributed data sources.  

  • Edge-to-cloud global synchronisation of files, objects, streams and databases into a single data repository
  • Persistent data store performance optimised for analytic workloads
  • Analyse data in-place, organise and label for deep learning
  • Policy-driven mirror, snapshot and data replication is wrapped in security for safe data access
  • Automatic data tiering and multi-cloud data management technology
  • Multi-tenancy and Security
  • Resiliency and data protection at scale
Get DevOps-like speed and agility at enterprise scale across the ML lifecycle

HPE Ezmeral ML Ops operationalises end-to-end processes, speeds up data model timelines and reduces time to market

  • Build and accelerate trusted end-to-end data science workflows
  • Single platform to address all aspects of the ML lifecycle – from data prep to model building, training, deployment, monitoring and collaboration
  • Easier and faster to start ML/AI projects and seamlessly scale them to production deployments
Open-source, hybrid analytics platform designed for on-premises lakehouses
  • Hybrid analytics platform spans edge to cloud
  • Enterprise-grade Spark with security for dynamic scaling, reliability, user authentication and access control
  • Delta Lake integration delivers reliable and consistent data for analytics
  • Support for external BI apps to run analytic jobs  
Centralised one-stop-shop for independent software vendor (ISV) applications

Leverage the open source Kubernetes ecosystem and our modern ISV partners to provide faster time to value and to adopt integrated solutions that combine HPE Ezmeral software with validated industry-leading, third-party, commercial and open source applications.

Mercedes-Benz AG pushes vehicle development ahead with HPE Ezmeral

Highly automated and fully autonomous vehicles have the potential to deliver safer, more efficient transport – but getting there requires vehicles that can process and act upon sensor data in real time. Training them relies on deep neural networks and Mercedes-Benz AG turned to the HPE Ezmeral Software Platform to efficiently manage and analyse millions of miles of vehicle test data.

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HPE Ezmeral Software

HPE Ezmeral Runtime Enterprise

HPE Ezmeral Runtime Enterprise brings the cloud to you by providing a container orchestration platform built on 100% open-source Kubernetes and designed for both cloud-native applications and non-cloud-native applications running on any infrastructure, either on-premises or hybrid- and multi-cloud environments.

HPE Ezmeral Data Fabric File and Object Store

Scales distributed files, objects, tables and streams into the same security, data management and technology model.

HPE Ezmeral ML Ops

HPE Ezmeral ML Ops provides DevOps-like speed and agility to your ML workflows with support for every stage of the machine learning lifecycle.

HPE Ezmeral Unified Analytics

Hybrid analytics and machine learning platform delivers the scale and elasticity required for advanced analytics.

View the software portfolio


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HPE Ezmeral Software Forum
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Open Source @ HPE
Open collaboration is in HPE’s DNA. We believe open source technologies and communities can help to deliver innovative solutions securely and at scale. HPE is proud to support, use and contribute to several open source projects.