HPE Ezmeral cloud-native analytics and data lakehouse platform optimizes 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, modernize, and analyze all of your data, from edge-to-cloud, wherever it’s stored.

Unify data and modernize apps

Industry’s-first Kubernetes-native object store optimized for high-performance analytics to accelerate data-first modernization from edge-to-cloud.

Consistent experience across teams

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

Gain freedom and flexibility

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

Kubernetes container orchestration

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
  • Pre-integrated with persistent container storage
  • On-demand provisioning
Data Ops speed & agility

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 synchronization of files, objects, streams, and databases into a single data repository
  • Persistent data store performance optimized for analytic workloads
  • Analyze data in-place, organize 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

Get DevOps-like speed and agility at enterprise scale across the ML lifecycle

HPE Ezmeral ML Ops operationalizes 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

Open-source, hybrid analytics platform designed for on-premises lake houses

  • 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

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 HPE Ezmeral to efficiently manage and analyze millions of miles of vehicle test data.

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, table, 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.