We performed a comparison between Alteryx and Dataiku based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Alteryx makes it easy for the end customer to see clean data in a structured form."
"The initial setup is easy."
"All of the data science features in terms of unioning and joining data together are valuable."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"It saves time on a lot projects. "
"The cloud deployment ensures it scales easily."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"I like the fact that you can easily blend data from different platforms."
"The most valuable feature is the set of visual data preparation tools."
"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."
"Data Science Studio's data science model is very useful."
"The solution is quite stable."
"Cloud-based process run helps in not keeping the systems on while processes are running."
"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."
"Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors."
"We are hoping that the NLP features will also support Chinese characters."
"Lacks an open source edition which would be helpful."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"If there is any way to make the learning curve less steep, that would be ideal."
"Alteryx could be improved in the area of analytics and central governance."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"The ability to have charts right from the explorer would be an improvement."
"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
"I think it would help if Data Science Studio added some more features and improved the data model."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."
"There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders."
"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Dataiku is ranked 7th in Data Science Platforms with 7 reviews. Alteryx is rated 8.4, while Dataiku is rated 8.2. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Dataiku writes "Gives different aspects of modeling approaches and good for multiple teams' collaboration". Alteryx is most compared with KNIME, Databricks, RapidMiner, Tableau and Microsoft Power BI, whereas Dataiku is most compared with Databricks, KNIME, RapidMiner, Microsoft Azure Machine Learning Studio and Amazon SageMaker. See our Alteryx vs. Dataiku report.
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