Arcadia Data vs ThingWorx Analytics comparison

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27 views|26 comparisons
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11 views|8 comparisons
Ranking
4th
out of 8 in BI on Hadoop
Views
27
Comparisons
26
Reviews
0
Average Words per Review
0
Rating
N/A
Views
11
Comparisons
8
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
ColdLight
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Overview

Arcadia Data unifies visual analysis, data discovery and business intelligence native in Hadoop. Its unique on-cluster execution architecture runs analytics directly on your Hadoop nodes. No need to add hardware or pull standalone extracts.

GET BUSINESS USERS STRAIGHT INTO BIG DATA WITH DRAG-N-DROP EASE

SCALE OUT TO HUNDREDS OF BILLIONS OF DATA POINTS WITH NEAR REAL-TIME RESPONSE

ROLE-BASED ACCESS CONTROL PROVIDES SECURITY DIRECTLY ON HADOOP CLUSTERS

ThingWorx Analytics helps enterprises find solutions to their IoT data challenges by enabling them to monitor edge devices and provide real-time pattern and anomaly detection on real-time data streams. It also helps improve future performance and results with automated prescriptions and simulations. This tool requires the ThingWorx Analytics Server.

Sample Customers
Appboy, MarketShare, HP, P&G
Furtwangen University, Elisa, DeviceLynk, LumenData
Top Industries
No Data Available
VISITORS READING REVIEWS
Manufacturing Company28%
Healthcare Company8%
Financial Services Firm8%
Energy/Utilities Company7%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business15%
Midsize Enterprise17%
Large Enterprise68%

Arcadia Data is ranked 4th in BI on Hadoop while ThingWorx Analytics is ranked 4th in M2M Application Development Platform. Arcadia Data is rated 0.0, while ThingWorx Analytics is rated 0.0. On the other hand, Arcadia Data is most compared with Tableau, whereas ThingWorx Analytics is most compared with Microsoft Power BI, Databricks and Tableau.

We monitor all BI on Hadoop 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.