Dataiku vs. SugarSync

Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.

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When doing daily jobs, if you’re sharing large files, I think Dropbox works a lot better but if you have a system where you’re working within that system and you want to be able to work with that system and have certain folders that you have access to all the time then SugarSync might be just the ticket.

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• Allows users to collaborate and monitor individual tasks
• Caters to both types of analysts, coders and non-coders, alike
• Integrate graphs and plots with visualization tools such as Tableau

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• Sync files in any folder - rather than forcing you to store them in a certain place (Although this can be confusing too)
• Works in the background - although this is true for all
• You can share with others - including those who do not use SugarSync

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• The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
• When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
• Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.

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• Can only think of one thing. I have helped others to get going with SugarSync and they if they have problems it is understanding the cloud.... So maybe (if it dosen't exist already) I would like to have a animation of the proces with "flying" folders between desktops, clouds etc. Otherwise SugarSync is just great.

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1. Freemium model is the ideal marketing for an app like this. 2. Now their sync methods with Android are worse

The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level

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The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

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Customer service is amazing, they are always fast to respond and very helpful.

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Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.

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SugarSync, like all solutions, has its place in the data storage stack within a company. The main reason SugarSync is better than the other solutions is that it enables me to leave my hard drive organized and keep my existing file trees. I don't have to constantly move or copy files to a specific folder if I want them backed up.

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• Customer satisfaction
• Timely project delivery

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• There were some opensource alternatives but we wanted something with better support which SugarSync offers.
• We achieved faster project collaboration with SugarSync.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info