Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Acquia CDP
Yes
Apache Spark
Yes
Azure Local
No
Galileo
Yes
Hadoop
Yes
IBM Cloud Object Storage
Yes
MINT
Yes
Microsoft Azure
No
PowerShell
No
RadiantOne
Yes
Integrations
Acquia CDP
No
Apache Spark
No
Azure Local
Yes
Galileo
No
Hadoop
No
IBM Cloud Object Storage
No
MINT
No
Microsoft Azure
Yes
PowerShell
Yes
RadiantOne
No
Pricing Details
$0.014 per hour
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
Yes
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
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No