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SAS Analytics for IoT vs ThingSpeak comparison

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SAS Analytics for IoT

57 views|27 comparisons
ThingSpeak Logo

ThingSpeak

1,082 views|991 comparisons
Ranking
7th
out of 10 in IoT Analytics
Views
57
Comparisons
27
Reviews
0
Average Words per Review
0
Rating
N/A
2nd
out of 10 in IoT Analytics
Views
1,082
Comparisons
991
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
SAS AIOT
Learn More
SAS
ThingSpeak
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Overview

SAS Analytics for IoT enables all types of users to transform data into intelligence with an extensible, sensor-based data model and an intuitive, visual interface built on SAS Viya that streamlines ETL tasks.

ThingSpeak is an IoT analytics platform service that allows you to aggregate, visualize and analyze live data streams in the cloud. ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB® code in ThingSpeak you can perform online analysis and processing of the data as it comes in. ThingSpeak is often used for prototyping and proof of concept IoT systems that require analytics.

Sample Customers
Rogers, Konica Minolta, Mack
University of Vermont, Seattle University, Marlabs inc., Lovely Professional Univesity, Stevens Institute of Technology
Top Industries
No Data Available
VISITORS READING REVIEWS
Government30%
University15%
Educational Organization15%
Retailer6%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise10%
Large Enterprise74%

SAS Analytics for IoT is ranked 7th in IoT Analytics while ThingSpeak is ranked 2nd in IoT Analytics. SAS Analytics for IoT is rated 0.0, while ThingSpeak is rated 0.0. On the other hand, SAS Analytics for IoT is most compared with , whereas ThingSpeak is most compared with Google Cloud IoT Core and AWS IoT Analytics.

See our list of best IoT Analytics vendors.

We monitor all IoT Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.