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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
Storage Spaces is a feature found in Windows and Windows Server designed to safeguard your data against hard drive failures. It operates similarly to RAID but is developed as a software solution. With Storage Spaces, you can combine three or more drives into a single storage pool, from which you can allocate capacity to create individual Storage Spaces. These spaces typically maintain multiple copies of your data, ensuring that if one drive fails, you still have a secure version of your information. When you find yourself lacking storage capacity, you can easily incorporate additional drives into the existing storage pool. There are four primary implementations of Storage Spaces: on a standard Windows PC, on a stand-alone server with all the storage contained within that server, on a clustered server using Storage Spaces Direct with local storage connected directly to each cluster node, and on a clustered server that utilizes one or more shared SAS storage enclosures encompassing all the drives. This versatility makes it suitable for expanding volumes on Azure Stack HCI and clusters running Windows Server, allowing for flexible and resilient data management. By leveraging these various configurations, users can effectively tailor their storage solutions to meet specific needs.
API Access
Has API
API Access
Has API
Integrations
Acquia CDP
Apache Spark
Azure Local
Galileo
Hadoop
IBM Cloud Object Storage
MINT
Microsoft Azure
PowerShell
RadiantOne
Integrations
Acquia CDP
Apache Spark
Azure Local
Galileo
Hadoop
IBM Cloud Object Storage
MINT
Microsoft Azure
PowerShell
RadiantOne
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
Microsoft
Founded
1975
Country
United States
Website
docs.microsoft.com/en-us/windows-server/storage/storage-spaces/overview
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
