Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Qubole stands out as a straightforward, accessible, and secure Data Lake Platform tailored for machine learning, streaming, and ad-hoc analysis. Our comprehensive platform streamlines the execution of Data pipelines, Streaming Analytics, and Machine Learning tasks across any cloud environment, significantly minimizing both time and effort. No other solution matches the openness and versatility in handling data workloads that Qubole provides, all while achieving a reduction in cloud data lake expenses by more than 50 percent. By enabling quicker access to extensive petabytes of secure, reliable, and trustworthy datasets, we empower users to work with both structured and unstructured data for Analytics and Machine Learning purposes. Users can efficiently perform ETL processes, analytics, and AI/ML tasks in a seamless workflow, utilizing top-tier open-source engines along with a variety of formats, libraries, and programming languages tailored to their data's volume, diversity, service level agreements (SLAs), and organizational regulations. This adaptability ensures that Qubole remains a preferred choice for organizations aiming to optimize their data management strategies while leveraging the latest technological advancements.
API Access
Has API
No
API Access
Has API
No
Integrations
Acxiom Real Identity
No
Ascend
No
Astro by Astronomer
No
Azure Marketplace
Yes
Google Cloud Managed Service for Apache Spark
No
IBM Fusion
Yes
Privacera
No
SQL
No
Syntasa
No
Zoho Directory
No
Integrations
Acxiom Real Identity
Yes
Ascend
Yes
Astro by Astronomer
Yes
Azure Marketplace
No
Google Cloud Managed Service for Apache Spark
Yes
IBM Fusion
No
Privacera
Yes
SQL
Yes
Syntasa
Yes
Zoho Directory
Yes
Pricing Details
$19.10 per terabyte
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/storage-scale
Vendor Details
Company Name
Qubole
Country
United States
Website
www.qubole.com
Product Features
Product Features
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
NoSQL Database
Auto-sharding
Yes
Automatic Database Replication
Yes
Data Model Flexibility
Yes
Deployment Flexibility
Yes
Dynamic Schemas
Yes
Integrated Caching
Yes
Multi-Model
Yes
Performance Management
Yes
Security Management
Yes