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What is SAS Grid Manager?

SAS Grid Manager provides organizations with a competitive edge by improving computing capabilities and effectively managing peak demands in a budget-friendly way through a flexible, centrally managed grid computing framework. This innovative system enables IT departments to responsively fulfill service level agreements by reallocating computing resources to accommodate high-demand tasks or evolving business needs, all while keeping centralized oversight of policies, programs, queues, and job prioritization for various users and applications. Within a grid infrastructure that connects multiple servers, tasks can be executed on the most appropriate available resource, guaranteeing that if one server experiences a problem, tasks can quickly switch to another server without any interruption. IT staff can perform maintenance on specific servers or increase computing resources without disrupting ongoing analytics processes or business activities. Moreover, SAS Grid Manager broadens support for diverse analytics environments by adeptly managing jobs not only in SAS but across various programming languages, which accelerates the execution of analytical tasks. This functionality greatly enhances productivity and ensures that analytics workflows run smoothly, significantly reinforcing an organization’s operational effectiveness. Furthermore, the flexibility and resilience of SAS Grid Manager empower organizations to scale their operations seamlessly as their analytical needs evolve over time.

What is MapReduce?

The system provides the capability to deploy clusters on demand and manage their scaling automatically, enabling a focus on processing, analyzing, and reporting large datasets. With extensive experience in distributed computing, our operations team skillfully navigates the complexities of managing these clusters. When demand peaks, the clusters can be automatically scaled up to boost computing capacity, while they can also be reduced during slower times to save on expenses. A straightforward management console is offered to facilitate various tasks such as monitoring clusters, customizing templates, submitting tasks, and tracking alerts. By connecting with the BCC, this solution allows businesses to concentrate on essential operations during high-traffic periods while supporting the BMR in processing large volumes of data when demand is low, ultimately reducing overall IT expenditures. This integration not only simplifies workflows but also significantly improves operational efficiency, fostering a more agile business environment. As a result, companies can adapt more readily to changing demands and optimize their resource allocation effectively.

Media

Media

Integrations Supported

MLlib
SAS Viya

Integrations Supported

MLlib
SAS Viya

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/grid-manager.html

Company Facts

Organization Name

Baidu AI Cloud

Date Founded

2000

Company Location

China

Company Website

intl.cloud.baidu.com/product/bmr.html

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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