Bigdata Analytics

Bigdata Analytics software examines and probes large amounts of data in order to understand them and discover insights and patterns. These software tools help professionals to wrangle and analyse very significant volume of both structured and unstructured data to discover correlations, trends and other characteristics of this data volumes. Big data analytics software involve very large amounts of data that cannot be analysed effectively with other traditional analytics methods. These computer software are programmed to efficiently analyse these large streams of data in a very short amount of time. With big data analytics software, businesses can understand high volumes of data from their operations very quickly and easily. Traditional analytics software probes data to help businesses make future decisions, however big data analytics software makes businesses proactive by helping them make immediate decisions with their speedy analysis. The ability of this software to stay agile is another competitive edge it provides for businesses. Big data analytics software can be integrated directly into the various data clusters in order to access data. These software can create powerful visualizations in real time of a business’ operations. Some big data analytics require some advanced technical software knowledge to be used, while others allow for self-service provision which means the average employee can easily use the platforms.

PAT Grid™ for Bigdata Analytics

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Alteryx Analytics

PAT Index
Measures how well the product or service is performing.
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Measures how the product or service is rated in comparison to other products.
 
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Bigdata Analytics
PAT Index™
 
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95
 
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76
 
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95
 
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95
 
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88
 
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87
 
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68
 
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60
 
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16.75
Top Five
PAT Index™
 
1
MarkLogic
 
2
Sisense
 
3
Microsoft Azure
 
4
Apache Kafka
 
5
Alteryx Analytics
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