Dataiku vs. Rational BI

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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Definitely well suited for small companies, but again many of their competitors are also well suited in this segment. We were in general happy with the solution provided, but I'm not blown away by their solution or support. If you want to get more data-driven visual boards with data displayed in nice graphics is in my opinion a good start, and here Rational BI delivers what it should.

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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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• Arrange data.
• Dashboard.
• Automatic reports.

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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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• Not seeing anything at this time, comprehensive product.

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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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Overall Rational BI is a valuable enterprise reporting tool for any data driven organization. It offers great depth and breadth of features for reporting and analytics that can lead to better business outcomes. Its easy to use and highly configurable to evolve to changing reporting needs of organizations of any scale.

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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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I haven't used the support myself, but my colleagues have been satisfied with the support. As I have understood from my colleagues the support is as you could expect. Still, the documentation could be better and that could avoid the need to contact their support, but overall we're still happy with the support as well.

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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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Rational BI allows a deeper data analysis with respect to the other software I experimented with. The velocity to perform the analysis is similar to the other one. The predictive analysis could be very useful, but at the moment I do not use it in my activities. Dashboards are nice and easy to understand.

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• Customer satisfaction
• Timely project delivery

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• Allows folks to work on other items as reporting is done in the background.
• Scheduling and delivery of reports with one click.
• Single pane of management.
• Ease of use.

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Independently Invited by TrustRadius

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