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ease
features
design
support

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Description

Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.

Description

IBM Storage Scale is an innovative software-defined solution for file and object storage, allowing organizations to create a comprehensive global data platform tailored for artificial intelligence (AI), high-performance computing (HPC), advanced analytics, and other resource-intensive tasks. In contrast to traditional applications that typically manage structured data, current high-performance AI and analytics operations are focused on unstructured data types, which can include a variety of formats such as documents, audio files, images, videos, and more. The software delivers global data abstraction services that efficiently unify various data sources across different geographic locations, even integrating non-IBM storage systems. It features a robust massively parallel file system and is compatible with a wide range of hardware platforms, comprising x86, IBM Power, IBM zSystem mainframes, ARM-based POSIX clients, virtual machines, and Kubernetes environments. This versatility enables organizations to adapt their storage solutions to meet diverse and evolving data management needs. Furthermore, IBM Storage Scale's ability to handle vast amounts of unstructured data positions it as a critical asset for enterprises aiming to leverage data for competitive advantage in today's digital landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
IBM Fusion
Rocket Data Replicate & Sync
VE3 DataWise

Integrations

Azure Marketplace
IBM Fusion
Rocket Data Replicate & Sync
VE3 DataWise

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$19.10 per terabyte
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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/solutions/implementations/data-lake-solution/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/storage-scale

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Alternatives

Alternatives