HPE Ezmeral Software

HPE Ezmeral Software gives customers the software foundations to develop and deploy analytics applications seamlessly across hybrid-cloud environments.

The complete HPE Ezmeral Software portfolio offers integrated workflows from analytics to ML/AI, spanning hybrid clouds and edge locations. HPE Ezmeral Data Fabric Software delivers a single source of trusted data that spans on-premises, edge, co-location, and Amazon Web Services, Microsoft Azure, and Google Cloud Platform™. Designed for developers, it allows seamless access to files, objects, tables, and streaming data regardless of its location or format. And HPE Ezmeral Unified Analytics Software helps customers develop and deploy data and analytic workloads faster by providing fully managed, secure, enterprise-grade versions of the most popular open-source frameworks in a cloud-like, consumption-based experience.

Learn more about the HPE Ezmeral Software products

HPE Ezmeral Data Fabric Software – Unlock more value by unifying data distributed across cloud, edge, and core into a global data plane. Fuel decision velocity with secure access, and real-time identification, control, and processing of data everywhere it lives.

HPE Ezmeral Unified Analytics Software – Unlock data and insights faster from edge to cloud with a managed, open-source SaaS data analytics solution providing curated, best-of-breed analytic software tools to develop and deploy applications across hybrid environments.

HPE Ezmeral Software supports the most popular open-source ML Ops, Airflow, MLflow, and Kubeflow projects while integrating with an ever-growing ecosystem of certified HPE ISV partners.

Get started with HPE Ezmeral Software

The HPE Ezmeral Early Access (EEA) program allows you to access soon to be released products – typically in private Beta or Select Availability – with exemplary training and support provided by HPE. The goal of the EEA program is to solicit early user feedback, and foster design partnerships with the application development community. By signing up, participants get real-time, hands-on experience with next generation capabilities to solve advanced data and analytics problems in hybrid environments.

The first two products that are available through EEA are:

  • HPE Ezmeral Data Fabric Software – access HPE Ezmeral Data Fabric as a fully managed service. Register now for a 300GB instance to try out features and capabilities.

  • HPE Ezmeral Unified Analytics Software (UA) – secure, fully managed, open-source software-as-a-service (SaaS) for the data analytics lifecycle that delivers a complete end-to-end solution.

The following overview videos are available to provide more information on EEA and the first two products:


HPE Ezmeral demo

Automated installation for HPE Ezmeral Runtime Enterprise and HPE Ezmeral ML Ops on various platforms for demo purposes.

HPE Ezmeral Python Library

Python library and Command Line Interface (CLI) for HPE Ezmeral Runtime Enterprise and HPE Ezmeral ML Ops.

Learn from the experts

Note: The HPE Ezmeral Container Platform referenced in these videos has been renamed to HPE Ezmeral Runtime Enterprise. All other information is correct.

Interactive Demo Experience (IDE)

Use the HPE Ezmeral interactive demo experience to learn how to perform common tasks related to building and deploying stateful, containerized applications with HPE Ezmeral Runtime Enterprise, building an Apache Spark ML model, and protecting container data using data fabric.



Kubernetes Director (aka KubeDirector) for deploying and managing stateful applications on Kubernetes.

Apache Spark

HPE Ezmeral software provides the option of leveraging the power of Apache Spark, which is an open-source unified analytics engine for large-scale data processing that is maintained by the Apache Software Foundation. If your organization has a need to run Apache Spark jobs in a Containerized environment, such as within a Kubernetes cluster using a Spark Operator or Livy API server to manage Apache Spark jobs, then HPE offers the HPE Ezmeral Unified Analytics license for the HPE Ezmeral Runtime Enterprise platform.

Apache® and Apache Spark™ are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks.


Take advantage of our free, Jupyter-Notebook based workshops available in the HPE Developer Hack Shack. These technical workshops provide you with an in-depth, hands-on learning experience where you can interact with and learn from the experts. Designed to fit your schedule, these workshops are available 24/7 – any time, from anywhere. HPE Ezmeral Runtime Enterprise workshops (previously called HPE Ezmeral Container Platform workshops) are available today.

Any questions on HPE Ezmeral Software?

Join the HPE Developer Community Slack Workspace and start a discussion in our #hpe-ezmeral-runtime-enterprise, #hpe-ezmeral-unified-analytics-software, and #hpe-ezmeral-data-fabric-software channels.

Not a Slack user? You can also ask your questions in our HPE Ezmeral Software Forum.

Related Blogs


Call for HPE Ezmeral Unified Analytics Software beta testers

Dec 7, 2022
Alaric Thomas

HPE Ezmeral Early Access gives developers hands-on experience with the new HPE Ezmeral Data Fabric Software

Dec 7, 2022

Catch HPE at KubeCon NA 2022

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Alaric Thomas

Beta test our new HPE GreenLake for Data Fabric!

Sep 23, 2022
Srikanth Venkata Seshu

Highlighting key features of HPE Ezmeral Runtime Enterprise Release 5.4

Mar 31, 2022
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Mapping Kubernetes Services to HPE Ezmeral Runtime Enterprise Gateway

Dec 6, 2021
Vinothini Raju

Autopilot Kubernetes Deployments on HPE Ezmeral Runtime Enterprise

Nov 23, 2021
Ka Wai Leung & Jason Mashak

Secure containerized and traditional apps concurrently

Sep 30, 2021
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Data Analytics with PySpark using HPE Ezmeral Container Platform

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Cenz Wong

Getting Started with DataTaps in Kubernetes Pods

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Don Wake

On-Premise Adventures: How to build an Apache Spark lab on Kubernetes

Jun 15, 2021
Cenz Wong

Ways to interact with Kubernetes Clusters managed by HPE Ezmeral Container Platform

May 28, 2021
Sahithi Gunna

Application Modernization with the Application Workbench

May 10, 2021
Dale Rensing

Open Source Contributor Explains How KubeDirector Empowers Data Intensive Apps

Mar 18, 2021

Boost Your Analytics Factory into Hyperdrive

Mar 9, 2021
Raz Haleva

The Challenges of Sharing GPUs and How to Solve Them

Feb 3, 2021
Dale Rensing

Exploring Data Fabric and Containers in HPE DEVs new Munch & Learn monthly gatherings

Jan 28, 2021
Ellen Friedman

Making AI a Reality

Jan 15, 2021
Joel Baxter & Kartik Mathur & Don Wake

Building Dynamic Machine Learning Pipelines with KubeDirector

Aug 14, 2020
Prashant Sachdeva

HPE achieves gold for large-scale enterprise Kubernetes deployments

Jun 17, 2020
Denis Choukroun

HPE Container Platform REST API – Part 2: Deploying containerized applications

Jun 4, 2020
Denis Choukroun

HPE Container Platform REST API – Part 1: Authenticating

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Dale Rensing

App DEV and the HPE Container Platform

Apr 9, 2020
Dana Gardner

Why DevSecOps approach is key to mainstream container use

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Marcel Jakob

Second internal HPE Hackathon around IoT and AI

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Dale Rensing

Think container first

Dec 5, 2019
Tom Phelan

Running Non-Cloud-Native Apps on Kubernetes with KubeDirector

Nov 18, 2019
Tom Phelan

KubeDirector: The easy way to run complex stateful applications on Kubernetes

Sep 9, 2019
Tom Phelan & Joel Baxter

Deploying Complex Stateful Applications on Kubernetes with KubeDirector

Sep 9, 2019
Tom Phelan

Complex Stateful Applications on Kubernetes: KubeDirector version 0.2

Sep 9, 2019
Didier Lalli

Say NO to (Cloud) Vendor Lock-in!

Sep 3, 2019

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