Learn More About Industrialising Data Science
Learn More About Industrialising Data Science
Transform your business into an analytic factory with consistent and repeatable data models that accelerate business innovation
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UNLOCK DATA FASTER FROM EDGE TO CLOUD

The HPE Ezmeral Unified Analytics solution modernises legacy data and applications to optimise data-intensive workloads from edge to cloud to deliver the scale and elasticity required for advanced analytics.

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Unify global data

Integrated data platform with files, objects, streams and databases. Provides seamless access to all data across hybrid and multi-cloud deployments.

Cloud-native

Unified experience for data science, engineers and analysts. Integrates native Apache Spark and SQL compute engines to power traditional and modern analytic tools. Freedom to orchestrate applications and data on-premises, in the cloud and at the edge.

Open-source flexibility

100% open-source stack unshackles you from vendor lock-in. Mix and match open-source, validated ISVs or bring your tool of choice.

GREATER FREEDOM AND CHOICE FOR ENTERPRISE

Unified platform for analytic and ML tools connects users and their tools to the right data, compute engines and storage

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Cloud-native, hybrid by design

  • Optimised to run on-premises close to your data and connect to other clouds with the freedom and flexibility to orchestrate apps and datasets on premises, edge and other clouds

ENTERPRISE GRADE SPARK ON KUBERNETES

  • Enables dynamic scaling, reliability, user authentication and access control in Kubernetes clusters. Support for external BI applications to run analytic jobs
  • 24/7 support for on-premises & hybrid deployments

FASTER ANALYTICS

  • Together, NVIDIA RAPIDS Accelerator for Apache Spark and HPE Ezmeral can accelerate Spark data prep, model training and visualisation
  • Up to 29x faster build and develop times for data scientists and engineers launching at scale production analytic solutions

Build end-to-end pipelines

  • HPE Ezmeral ML Ops provides native integration for collaboration and automation with MLFlow and KubeFlow
  • Enables building analytic workflows via AirFlow to seamlessly build end-to-end AI/Analytics pipelines 

UNIFIED OPERATIONAL & BATCH ANALYTICS

  • Native Delta Lake integration delivers reliable & consistent data for real-time and batch analytics with ACID transaction support

INTEGRATED ANALYTIC FRAMEWORK

  • Unifies frameworks and tools to accelerate development for data analytics & data science
  • Supports traditional batch and streaming processes with Spark, MapReduce and SQL with validated partners like Dremio, Starburst and Presto