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ease
features
design
support

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Description

IBM Analytics Engine offers a unique architecture for Hadoop clusters by separating the compute and storage components. Rather than relying on a fixed cluster with nodes that serve both purposes, this engine enables users to utilize an object storage layer, such as IBM Cloud Object Storage, and to dynamically create computing clusters as needed. This decoupling enhances the flexibility, scalability, and ease of maintenance of big data analytics platforms. Built on a stack that complies with ODPi and equipped with cutting-edge data science tools, it integrates seamlessly with the larger Apache Hadoop and Apache Spark ecosystems. Users can define clusters tailored to their specific application needs, selecting the suitable software package, version, and cluster size. They have the option to utilize the clusters for as long as necessary and terminate them immediately after job completion. Additionally, users can configure these clusters with third-party analytics libraries and packages, and leverage IBM Cloud services, including machine learning, to deploy their workloads effectively. This approach allows for a more responsive and efficient handling of data processing tasks.

Description

Accelerate your journey to a fully operational Kubernetes setup and streamline lifecycle management with Nutanix Kubernetes Engine, an advanced enterprise solution for managing Kubernetes. NKE allows you to efficiently deliver and oversee a complete, production-ready Kubernetes ecosystem with effortless, push-button functionality while maintaining a user-friendly experience. You can quickly deploy and set up production-grade Kubernetes clusters within minutes rather than the usual days or weeks. With NKE’s intuitive workflow, your Kubernetes clusters are automatically configured for high availability, simplifying the management process. Each NKE Kubernetes cluster comes equipped with a comprehensive Nutanix CSI driver that seamlessly integrates with both Block Storage and File Storage, providing reliable persistent storage for your containerized applications. Adding Kubernetes worker nodes is as easy as a single click, and when your cluster requires more physical resources, the process of expanding it remains equally straightforward. This streamlined approach not only enhances operational efficiency but also significantly reduces the complexity traditionally associated with Kubernetes management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
Kubernetes
MINT
Nutanix Kubernetes Platform
RadiantOne
Switch Automation
ZARUS
groundcover

Integrations

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
Kubernetes
MINT
Nutanix Kubernetes Platform
RadiantOne
Switch Automation
ZARUS
groundcover

Pricing Details

$0.014 per hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/analytics-engine

Vendor Details

Company Name

Nutanix

Founded

2009

Country

United States

Website

www.nutanix.com/products/kubernetes-engine

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Product Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

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