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ease
features
design
support

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Write a Review

Description

Regardless of the location of your data—whether in cloud environments, traditional systems, or data lakes such as Hadoop—SAS Data Management provides the tools necessary to access the information you require. You can establish data management protocols once and apply them repeatedly, allowing for a consistent and efficient approach to enhancing and unifying data without incurring extra expenses. IT professionals often find themselves managing responsibilities beyond their typical scope, but SAS Data Management empowers your business users to make data updates, adjust workflows, and conduct their own analyses, thereby allowing you to concentrate on other initiatives. Moreover, the inclusion of a comprehensive business glossary along with SAS and third-party metadata management and lineage visualization features ensures that all team members remain aligned. The integrated nature of SAS Data Management technology means you won't have to deal with a disjointed solution; rather, all components, ranging from data quality to data federation, operate within a unified architecture, providing seamless functionality. This cohesive system fosters collaboration and enhances overall productivity across your organization.

Description

Tribal is an innovative AI platform designed for enterprises, enabling business and IT teams to seamlessly create, implement, and sustain AI agents and applications within their existing systems. By establishing connections to systems of record, it effectively maps the surrounding metadata landscape to create a dynamic metadata fabric, allowing agents to comprehend objects, permissions, dependencies, business logic, and the current architecture before initiating any modifications. Its zero-copy security model ensures that data remains within the organization's secure environment, while built-in approval workflows, audit trails, impact assessments, testing, and deployment simulations offer essential safeguards throughout the application lifecycle. Moreover, specialized agents facilitate various processes such as administration, requirements analysis, development, security reviews, testing, and deployment, empowering teams to alter metadata, produce context-aware code, evaluate risks, and confirm changes prior to going live. This comprehensive approach not only streamlines workflows but also enhances collaboration across departments, ultimately driving efficiency and innovation within the organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

FlashBlade//S Yes 
Rapid Insight Yes 
SAS Data Loader for Hadoop Yes 
SAS MDM Yes 
Salesforce No 
ServiceNow No 
Snowflake No 
Truedat Yes 

Integrations

FlashBlade//S No 
Rapid Insight No 
SAS Data Loader for Hadoop No 
SAS MDM No 
Salesforce Yes 
ServiceNow Yes 
Snowflake Yes 
Truedat No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en/software/data-management.html

Vendor Details

Company Name

Tribal

Country

United States

Website

www.gotribal.ai/

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security No 
Information Governance No 
Master Data Management Yes 
Match & Merge No 

Master Data Management

Data Governance Yes 
Data Masking No 
Data Source Integrations Yes 
Hierarchy Management No 
Match & Merge No 
Metadata Management Yes 
Multi-Domain No 
Process Management Yes 
Relationship Mapping No 
Visualization No 

Product Features

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