We performed a comparison between Dataiku Data Science Studio and KNIME based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"Cloud-based process run helps in not keeping the systems on while processes are running."
"The most valuable feature is the set of visual data preparation tools."
"The solution is quite stable."
"Data Science Studio's data science model is very useful."
"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."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"We have found KNIME valuable when it comes to its visualization."
"It's a coding-less opportunity to use AI. This is the major value for me."
"There are a lot of connectors available in KNIME."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"This solution is easy to use and especially good at data preparation and wrapping."
"This solution is easy to use and it can be used to create any kind of model."
"KNIME is easy to learn."
"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)."
"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 find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"The ability to have charts right from the explorer would be an improvement."
"I think it would help if Data Science Studio added some more features and improved the data model."
"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."
"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 most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"KNIME's documentation is not strong."
"There should be better documentation and the steps should be easier."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"From the point of view of the interface, they can do a little bit better."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
Dataiku Data Science Studio is ranked 6th in Data Science Platforms while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Dataiku Data Science Studio is rated 8.2, while KNIME is rated 8.2. The top reviewer of Dataiku Data Science Studio writes "The model is very useful". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Dataiku Data Science Studio is most compared with Databricks, Alteryx, Microsoft Azure Machine Learning Studio, RapidMiner and Amazon SageMaker, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Weka and IBM SPSS Modeler.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
