Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • TRACTIAN Reviews & Ratings
    4.8 out of 5 stars 139 Ratings
    Company Website for TRACTIAN
  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • 3Q Reviews & Ratings
    4.9 out of 5 stars 14 Ratings
    Company Website for 3Q
  • Edgefinity IoT Reviews & Ratings
    4.8 out of 5 stars 6 Ratings
    Company Website for Edgefinity IoT
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,066 Ratings
    Company Website for Google Cloud Platform
  • CredentialStream Reviews & Ratings
    4.0 out of 5 stars 190 Ratings
    Company Website for CredentialStream
  • Kasm Workspaces Reviews & Ratings
    4.8 out of 5 stars 127 Ratings
    Company Website for Kasm Workspaces
  • Chainstack Reviews & Ratings
    4.8 out of 5 stars 35 Ratings
    Company Website for Chainstack
  • QUODD Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for QUODD
  • AnalyticsCreator Reviews & Ratings
    4.6 out of 5 stars 46 Ratings
    Company Website for AnalyticsCreator

What is SAS Analytics for IoT?

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

What is Crosser?

Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.

Media

Media

Integrations Supported

Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Uptempo

Integrations Supported

Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
SIGNL4

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

SAS Institute

Company Location

United States

Company Website

support.sas.com/en/software/analytics-for-iot-support.html

Company Facts

Organization Name

Crosser Technologies

Date Founded

2016

Company Location

Sweden

Company Website

www.crosser.io

Categories and Features

IoT

Big Data Analytics
Data Collection
Data Management
Visualization

IoT Analytics

Not specified

Categories and Features

Condition Monitoring

Not specified

IoT

Not specified

IoT Analytics

Not specified

IoT Development

Not specified

Machine Monitoring

Not specified

Popular Alternatives

Popular Alternatives

TRACTIAN Reviews & Ratings

TRACTIAN

Tractian
4.8 out of 5 stars