2020-08-18T04:51:00Z

What Data Science Platform is best suited to a large-scale enterprise?

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There are many Data Science Platforms available. Which platform would you recommend that can handle large amounts of data?

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66 Answers

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DakaIku is a great general purpose data science platform for both supervised and unsupervised learning. It handles Big Data very well.

2020-10-15T16:18:55Z
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Community Manager

@Ziad Chaudhry thanks for your input :)

2020-10-16T06:56:42Z
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Top 20Real User

Sparkcognition's Darwin product can handle very large data sets. 

2020-08-18T12:47:29Z
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Community Manager

@AaronCooke ​did you compare with any other solutions? What are the other alternatives for large data sets? BTW, thank you for sharing your review of Darwin with the community!

2020-08-19T05:40:05Z
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Community Manager

Thanks for your input @AaronCooke ​:) 

2020-08-19T07:39:20Z
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If you want to handle computer vision data, I recommend the Superb AI Suite. 
https://www.superb-ai.com/

2020-09-09T22:37:17Z
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The question also needs to specify which domain, what kind of data and public or private platforms. 


For structured/tabular data driverless AI / H20.ai sparkling water is my preferred platform. 

2020-08-18T17:51:00Z
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Community Manager

@Yogesh PARTE ​Good point - this is a more general question, but I do agree that it's easier to make recommendations with more details. Would you mind sharing more about why H20.ai Sparkling Water is your preferred choice in this instance?

2020-08-19T07:45:28Z
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Top 20Real User

My experience has not been on large scale systems. Not even  multi-terabytes. My mult-megabytes would not help. Sorry!

2020-08-18T16:24:46Z
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Top 5LeaderboardReal User

IBM SPSS Modeler

2020-08-18T10:14:53Z
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Community Manager

@EzzAbdelfattah ​why do you recommend IBM SPSS Modeler? 

2020-08-19T05:39:05Z
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Real User

@EzzAbdelfattah IMHO it's pretty much limited and outdated to handle with the latest frameworks features,

2021-02-26T23:45:11Z
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