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Software AG TrendMiner vs ThingSpeak comparison

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105 views|70 comparisons
ThingSpeak Logo
640 views|547 comparisons
Ranking
7th
out of 10 in IoT Analytics
Views
105
Comparisons
70
Reviews
0
Average Words per Review
0
Rating
N/A
1st
out of 10 in IoT Analytics
Views
640
Comparisons
547
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
TrendMiner
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ThingSpeak
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Overview

TrendMiner software is based on a high-performance analytics engine for data captured in time series. With TrendMiner, process engineers and operators can easily search for trends and question their process data directly – without help from a data scientist.

TrendMiner delivers all you need to analyze, monitor and predict the performance of batch, grade and continuous plants.

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.

Offer
Learn more about Software AG TrendMiner
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Sample Customers
Total, Sitech Services
University of Vermont, Seattle University, Marlabs inc., Lovely Professional Univesity, Stevens Institute of Technology
Top Industries
No Data Available
VISITORS READING REVIEWS
Comms Service Provider35%
Educational Organization19%
Computer Software Company12%
University10%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business34%
Midsize Enterprise30%
Large Enterprise36%

Software AG TrendMiner is ranked 7th in IoT Analytics while ThingSpeak is ranked 1st in IoT Analytics. Software AG TrendMiner is rated 0.0, while ThingSpeak is rated 0.0. On the other hand, Software AG TrendMiner 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.