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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Alluxio stands out as the pioneering open-source technology for data orchestration tailored for analytics and AI within cloud environments. It effectively connects data-centric applications with various storage systems, allowing seamless data retrieval from the storage layer, thus enhancing accessibility and enabling a unified interface for multiple storage solutions. The innovative memory-first tiered architecture of Alluxio facilitates data access at unprecedented speeds, significantly surpassing traditional methods. Picture yourself as an IT leader with the power to select from a diverse range of services available in both public cloud and on-premises settings. Furthermore, envision having the capability to scale your storage for data lakes while maintaining control over data locality and ensuring robust protection for your organization. To support these aspirations, NetApp and Alluxio are collaborating to empower clients in navigating the evolving landscape of modernizing their data architecture, with an emphasis on minimizing operational complexity for analytics, machine learning, and AI-driven workflows. This partnership aims to unlock new possibilities for businesses striving to harness the full potential of their data assets.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
Acquia CDP
Apache Hudi
Apache Zeppelin
Galileo
Hadoop
IBM Cloud Object Storage
MINT
RadiantOne
Switch Automation
ZARUS

Integrations

Apache Spark
Acquia CDP
Apache Hudi
Apache Zeppelin
Galileo
Hadoop
IBM Cloud Object Storage
MINT
RadiantOne
Switch Automation
ZARUS

Pricing Details

26¢ Per SW Instance Per Hour
Free Trial
Free Version

Pricing Details

$0.014 per hour
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

Alluxio

Founded

2013

Country

United States

Website

www.alluxio.io

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/analytics-engine

Product Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

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

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