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."The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"The most valuable feature for me is integration."
"It saves time on a lot projects. "
"Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The most valuable feature of Alteryx is user-friendliness."
"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
"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."
"The most valuable feature is the set of visual data preparation tools."
"Data Science Studio's data science model is very useful."
"The solution is quite stable."
"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."
"Cloud-based process run helps in not keeping the systems on while processes are running."
"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."
"The solution can be quite complex in some aspects."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"Alteryx could be improved in the area of analytics and central governance."
"The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user."
"The workflow and pipeline need to improve."
"It seems to me that it is not always user friendly."
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."
"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."
"I think it would help if Data Science Studio added some more features and improved the data model."
"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."
"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 ability to have charts right from the explorer would be an improvement."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Dataiku is ranked 11th 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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