Gathr.ai Reviews & Ratings

Gathr.ai

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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
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Ratings and Reviews 28 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is SAS Event Stream Processing?

Understanding the importance of streaming data generated from various operations, transactions, sensors, and IoT devices is crucial for maximizing its potential. SAS's event stream processing provides a robust solution that integrates streaming data quality, advanced analytics, and a wide array of both SAS and open source machine learning methods, all complemented by high-frequency analytics capabilities. This cohesive approach allows for the effective connection, interpretation, cleansing, and analysis of streaming data without disruption. No matter the speed at which your data is produced, the sheer amount of data you handle, or the variety of sources you draw from, you can manage everything with ease through an intuitive interface. In addition, by establishing patterns and preparing for diverse scenarios across your organization, you can maintain flexibility and address challenges proactively as they arise, ultimately boosting your overall operational efficiency while fostering a culture of continuous improvement. This adaptability is essential in today's fast-paced data-driven environment.

What is Gathr.ai?

Gathr serves as a comprehensive Data+AI fabric, enabling businesses to swiftly produce data and AI solutions that are ready for production. This innovative framework allows teams to seamlessly gather, process, and utilize data while harnessing AI capabilities to create intelligence and develop consumer-facing applications, all with exceptional speed, scalability, and assurance. By promoting a self-service, AI-enhanced, and collaborative model, Gathr empowers data and AI professionals to significantly enhance their productivity, enabling teams to accomplish more impactful tasks in shorter timeframes. With full control over their data and AI resources, as well as the flexibility to experiment and innovate continuously, Gathr ensures a dependable performance even at significant scales, allowing organizations to confidently transition proofs of concept into full production. Furthermore, Gathr accommodates both cloud-based and air-gapped installations, making it a versatile solution for various enterprise requirements. Recognized by top analysts like Gartner and Forrester, Gathr has become a preferred partner for numerous Fortune 500 firms, including notable companies such as United, Kroger, Philips, and Truist, reflecting its strong reputation and reliability in the industry. This endorsement from leading analysts underscores Gathr's commitment to delivering cutting-edge solutions that meet the evolving needs of enterprises today.

Media

Media

Integrations Supported

Azure Marketplace

Integrations Supported

Axis LMS
Confluence
Databricks
Facebook
Facebook Ads
GitHub
GitLab
Gmail
IBM Rational ClearQuest
Jira
Meta Ads
OpenAI
Pinecone Rerank v0

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$0.25/credit
Free Trial Offered?

Supported Platforms

Not specified

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Webinars
Online Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/event-stream-processing.html

Company Facts

Organization Name

Gathr.ai

Company Location

United States

Company Website

www.gathr.ai

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

AI Data Analytics

Not specified

Data Fabric

Not specified

Data Integration

Not specified

Data Pipeline

Not specified

Data Preparation

Not specified

Data Science

Not specified

ETL

Not specified

Machine Learning

Not specified

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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