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HPR EZMERAL
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
ndustry’s first hybrid analytics and ML solution allows enterprises to scale up data lakehouses on-premises
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 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 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 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
Centralized one-stop-shop for independent software vendor applications
Leverage the open-source Kubernetes ecosystem and our modern ISV partners to provide faster time to value and adopt integrated solutions that combine HPE Ezmeral software with validated industry-leading, third-party, commercial and open-source applications.
For more information, visit: https://www.hpe.com/us/en/software.html