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Average Ratings 0 Ratings
Description
SAS Grid Manager empowers organizations to excel in their competitive landscape by enhancing computing capabilities, efficiently addressing peak demands in a cost-effective manner through a versatile, centrally governed grid computing framework. This system allows IT departments to adaptively meet service level agreements by reallocating computing resources to handle high-demand workloads or shifting business requirements, all while maintaining centralized control over policies, programs, queues, and job prioritization for various users and applications. In a grid setup that incorporates multiple servers, tasks can be executed on the most suitable resource available, ensuring that if one server encounters an issue, tasks can seamlessly transition to an alternative server without delay. IT personnel can carry out maintenance on designated servers or augment computing resources without causing interruptions to ongoing analytics tasks or business operations. Additionally, SAS Grid Manager enhances support for a range of analytics environments by efficiently managing jobs not only in SAS but also in other programming languages, which fosters rapid execution of analytical processes. This capability significantly boosts productivity while ensuring that analytics workflows remain uninterrupted, further solidifying an organization’s operational efficiency.
Description
SAS Studio offers a programming environment accessible through web browsers, making it simpler and quicker to write and engage with SAS code from any location. This platform is designed to enhance teamwork by facilitating the creation of effective data pipelines, promoting effortless collaboration, minimizing the need for extensive coding, and allowing for open-source integration. It interfaces with prominent cloud data services like AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, in addition to various relational and non-relational databases such as Oracle, Snowflake, Teradata, SingleStore, and MongoDB. Furthermore, SAS Studio is compatible with multiple file formats, including Excel, text, Parquet, and ORC. Users have the flexibility to work with a no-code, low-code, or traditional coding approach, enabling them to construct comprehensive data pipelines through drag-and-drop operations, create Python and SAS code within SAS Studio or other IDEs, and integrate these components into SAS Studio workflows for secure and centralized data access. Additionally, SAS Studio accommodates both ELT and ETL methodologies, ensuring versatility in data handling. This adaptability makes SAS Studio a valuable tool for data professionals aiming to streamline their analytics processes.
API Access
Has API
API Access
Has API
Integrations
Amazon EMR
Amazon Redshift
Apache Hive
Apache Parquet
Azure Data Lake
Azure Synapse Analytics
Cloud Dataprep
Cloudera Data Platform
Google Cloud BigQuery
Google Cloud Storage
Integrations
Amazon EMR
Amazon Redshift
Apache Hive
Apache Parquet
Azure Data Lake
Azure Synapse Analytics
Cloud Dataprep
Cloudera Data Platform
Google Cloud BigQuery
Google Cloud Storage
Pricing Details
No price information available.
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
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/grid-manager.html
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/studio.html