Compare Comarch IoT Analytics Platform vs. Cumulocity IoT DataHub

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Ranking
10th
out of 10 in IoT Analytics
Views
10
Comparisons
2
Reviews
0
Average Words per Review
0
Rating
N/A
7th
out of 10 in IoT Analytics
Views
56
Comparisons
45
Reviews
0
Average Words per Review
0
Rating
N/A
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Overview

The IoT Analytics Platform module focuses on delivering measurable business value, using intelligent big data processing and real-time data analytics for M2M/IoT business purposes. It provides thorough information about the way in which customers are using your IoT products. Additionally, it handles some issues related to quality of service (QoS) within operations, by helping discover which device (or type of device) generates issues, revealing data patterns and trends, and providing reports and analyses of anomalies. Device/IMSI (International Mobile Subscriber Identity) or customer profile dashboards enable deep data drill down. You can also use the supporting functions such as alarms and notifications internally, to improve your business and operational results and enhance customer experience using this solution, which enables you to truly unlock the potential of IoT (Internet of Things) analytics data for telecom organizations

Cumulocity IoT DataHub is the tool designed for this purpose. With Cumulocity IoT DataHub, you can connect existing tools and applications to Cumulocity, such as: Business Intelligence/reporting tools (using ODBC, JDBC) ... Arbitrary custom applications (using JDBC for Java applications, ODBC for .

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Sample Customers
BP Global, Telefonica, technicolor, vodafone
Durr Somac

Comarch IoT Analytics Platform is ranked 10th in IoT Analytics while Cumulocity IoT DataHub is ranked 7th in IoT Analytics. Comarch IoT Analytics Platform is rated 0.0, while Cumulocity IoT DataHub is rated 0.0. On the other hand, Comarch IoT Analytics Platform is most compared with , whereas Cumulocity IoT DataHub is most compared with AWS IoT Analytics and Software AG TrendMiner.

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.