HPE Machine Learning Data Management Software

Make your data AI-ready by automating data pipelines and accelerating time to ML model production by processing petabyte-scale workloads.

Cost-effectively scale complex data pipelines

Empower data engineering teams to automate data pipelines with a unique architecture that is cost-effective at scale and enables sophisticated transformations with any type of data.

Reproducibility for auditing and compliance needs

Automatic, immutable data lineage and data versioning ensure complete reproducibility of any outcome. Full versioning for data and metadata including all analysis, parameters, artifacts, models, and intermediate results.

Scalability to process petabytes of data

Run complex data pipelines with sophisticated data transformations by leveraging dynamic autoscaling and parallelization without rewriting your code. Reduce data processing time from weeks to hours.

Flexibility to use any data type, any code, on any platform

Use any language, libraries or frameworks with any structured or unstructured data on any platform, either on-premises or in the cloud. Utilize batch and streaming data so that your ML models are constantly refreshed.

Our customers

Combine data pipelines and data versioning

Enable pipelines that automatically trigger and capture data lineage so that any outcome can be reproduced.

The value of machine learning software

Get a closer look at the unique features and benefits of the software that allows organizations to enable complex data transformations.

Software for autonomous driving

The car of the future will not only require advanced technology within the vehicle itself, but also cutting-edge innovation to support how these cars share information as a fleet. Learn how Hewlett Packard Enterprise is solving this key AI challenge.

Use cases in healthcare and life sciences

Machine learning has played a major role in recent healthcare breakthroughs and will do continue to do so. This solution can scale data transformation and orchestrate all the stages of the ML lifecycle to address use cases in genomics, risk analysis, patient care and more.

Our partners and clients

Take the next steps

Ready to get started? Explore purchasing options or engage with HPE experts to determine the best solution for your business needs.

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HPE Machine Learning Development Environment Software

Easily implement and train Machine Learning models by removing complexities, optimizing cost, and accelerating innovation.

Learn more about the HPE GreenLake cloud experience

All HPE GreenLake cloud services are accessed through a unified control plane that delivers a consistent, open and extensible cloud operating experience for all your services and users, wherever the workloads and data are located.