48 Dataiku Reviews
Overall Review Sentiment for Dataiku
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User interface, good learning materials enabling the fast introduction to the platform. An easy way to understand and present the data preparation flow. Review collected by and hosted on G2.com.
Could have better support on platform installation and maintenance/tunning. Still small community, when it increases would be great to take care of small doubts and tips and tricks. Review collected by and hosted on G2.com.
Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool. Review collected by and hosted on G2.com.
the visualisation offered by dataiku is way too simple for them to use in production and can't be used as an etl tool.but it's very nice tool for data exploration Review collected by and hosted on G2.com.
This software is very helpful in attracting multiple users, the analyses it does are excellent, the interface it offers is very clean and easy to use for data engineering, data analysis and data visualization, innovation and constant improvements of the platform, such as its latest integration with GitHub, for example, make the tool a great added value, the perfect tool to gather data and expertise on the subject throughout the company and to ensure security. It also has a great collaboration environment and complete parameterization of Predictive and Machine Learning algorithms, with full access to its source code. Review collected by and hosted on G2.com.
I wish there was a free version of dataiku elements", plus it doesn't do tasks on its own, but they're just small things. Review collected by and hosted on G2.com.
The ability to have "recipes" and pipelines for data is useful Review collected by and hosted on G2.com.
For my particular application if the software which was developing ML models, it was not necessary and I find using open source libraries like Pandas with my preferred python IDE to be the most versatile Review collected by and hosted on G2.com.
The histograms on each column and the recommendation of outliers. The major like from my side would be the algorithm recommendation after building model. Review collected by and hosted on G2.com.
Data transformation could have been better with different summarization symbols. Review collected by and hosted on G2.com.
Ease of use
Lots of recipes for your all kind of work Review collected by and hosted on G2.com.
Workload, if user number is high and everybody working a big project, sometimes we got errors but it is not big deal. Review collected by and hosted on G2.com.
Dataiku offers a very clean, intuitive and user-friendly interface with functionality for data engineering, data analytics and data visualization. The visual recipes specifically and the ability to transform data without writing code is the best feature of the tool. The ability to easily schedule jobs inside the tool itself is a great feature as well. Unlike most of it's competitors, allowing in database execution is what sets Dataiku apart from the rest. The innovation and constant improvements to the platform such as their latest integration with GitHub for example make the tool a huge value add. Lastly, the user friendly staff that is dedicated to customer success is simply phenomenal to work with. Review collected by and hosted on G2.com.
The tool lacks good data visualization functionality. It does not offer drill down functionality in visualizations or interactive charts that work together. Additionally, the license cost is definitely on the higher end. Review collected by and hosted on G2.com.
