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 support is very good."
"Good data transformation."
"There are a lot of good customization capabilities."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"I like that I can merge data from different sources into one place."
"Geo features have made spatial mapping large retail universes possible."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"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."
"Data Science Studio's data science model is very useful."
"Cloud-based process run helps in not keeping the systems on while processes are running."
"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."
"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."
"The most valuable feature is the set of visual data preparation tools."
"The solution is quite stable."
"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"The event handling, such that the file system watcher, is in need of improvement."
"It would be great to create the final users' visualization within Alteryx."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"I'd like it to be easier to work with PDF."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"The next feature release should include easier reporting."
"The server is too expensive for what you get and it really a designer desktop on a server."
"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."
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
"The ability to have charts right from the explorer would be an improvement."
"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."
"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."
"I think it would help if Data Science Studio added some more features and improved the data model."
"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."
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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