Dataiku vs. Rational BI

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.

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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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• The intuitiveness of this tool is very good.
• Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
• The way you can control things, the set of APIs gives a lot of flexibility to a developer.

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• Arrange data.
• Dashboard.
• Automatic reports.

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• End product deployment.

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• Not seeing anything at this time, comprehensive product.

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As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

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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 support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.

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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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Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.

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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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• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

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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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