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features
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support

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Description

Manage, oversee, control, and safeguard the applications, data, and IT resources essential for your business, spanning from edge to cloud. HPE Ezmeral propels digital transformation efforts by reallocating time and resources away from IT maintenance towards innovation. Update your applications, streamline your operations, and leverage data to transition from insights to impactful actions. Accelerate your time-to-value by implementing Kubernetes at scale, complete with integrated persistent data storage for modernizing applications, whether on bare metal, virtual machines, within your data center, on any cloud, or at the edge. By operationalizing the comprehensive process of constructing data pipelines, you can extract insights more rapidly. Introduce DevOps agility into the machine learning lifecycle while delivering a cohesive data fabric. Enhance efficiency and agility in IT operations through automation and cutting-edge artificial intelligence, all while ensuring robust security and control that mitigate risks and lower expenses. The HPE Ezmeral Container Platform offers a robust, enterprise-grade solution for deploying Kubernetes at scale, accommodating a diverse array of use cases and business needs. This comprehensive approach not only maximizes operational efficiency but also positions your organization for future growth and innovation.

Description

Transform the chaos of data into meaningful value through the power of data intelligence. By connecting, discovering, enriching, and orchestrating fragmented data resources, organizations can derive actionable insights that drive business success on an enterprise level. SAP Data Intelligence serves as a holistic solution for data management. Acting as the orchestration layer for SAP’s Business Technology Platform, it converts scattered data landscapes into essential insights that foster large-scale innovation. Empower your users with intelligent, relevant, and contextual insights through seamless integration across the entire IT ecosystem. Effectively manage and orchestrate vast volumes of data and streams to enhance operational efficiency. Additionally, streamline processes, operationalize machine learning-driven innovations, and establish robust governance frameworks to mitigate compliance risks with comprehensive metadata management strategies. As data continues to evolve, maintaining a clear focus on actionable insights will be crucial for sustaining enterprise growth.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Apache Spark Yes 
Arctera Enterprise Vault No 
Azure NetApp Files No 
Cisco AnyConnect No 
Google Cloud Platform No 
HPE Ezmeral ML OPS Yes 
Huawei APM No 
IBM Cloud No 
Kubernetes Yes 
Lenovo ThinkAgile HX Series No 
Lightbend Yes 
Microsoft 365 No 
MinIO Yes 
NVIDIA DRIVE No 
NVIDIA Run:ai Yes 
SAP Joule No 
Starburst Enterprise Yes 
Unravel Yes 
Wipro Cloud Studio No 

Integrations

Amazon Web Services (AWS) Yes 
Apache Spark No 
Arctera Enterprise Vault Yes 
Azure NetApp Files Yes 
Cisco AnyConnect Yes 
Google Cloud Platform Yes 
HPE Ezmeral ML OPS No 
Huawei APM Yes 
IBM Cloud Yes 
Kubernetes No 
Lenovo ThinkAgile HX Series Yes 
Lightbend No 
Microsoft 365 Yes 
MinIO No 
NVIDIA DRIVE Yes 
NVIDIA Run:ai No 
SAP Joule Yes 
Starburst Enterprise No 
Unravel No 
Wipro Cloud Studio Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1.22 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Hewlett Packard Enterprise

Founded

2015

Country

United States

Website

www.hpe.com/us/en/ezmeral.html

Vendor Details

Company Name

SAP

Founded

1972

Country

Germany

Website

www.sap.com/products/data-intelligence.html

Product Features

Container Management

Access Control No 
Application Development No 
Automatic Scaling No 
Build Automation No 
Container Health Management No 
Container Storage No 
Deployment Automation No 
File Isolation No 
Hybrid Deployments No 
Network Isolation No 
Orchestration No 
Shared File Systems No 
Version Control No 
Virtualization No 

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

IT Management

Capacity Monitoring No 
Compliance Management No 
Event Logs No 
Hardware Inventory No 
IT Budgeting No 
License Management No 
Patch Management No 
Remote Access No 
Scheduling No 
Software Inventory No 
User Activity Monitoring No 

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Alternatives

Alternatives