We performed a comparison between Domino Data Science Platform 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."The scalability of the solution is good; I'd rate it four out of five."
"It's a coding-less opportunity to use AI. This is the major value for me."
"Since KNIME is a no-code platform, it is easy to work with."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"Overall KNIME serves its purpose and does a good job."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"The predictive analysis feature needs improvement."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"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."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"The documentation needs a proper rework. "
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
Earn 20 points
Domino Data Science Platform is ranked 20th in Data Science Platforms while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Domino Data Science Platform is rated 7.0, while KNIME is rated 8.2. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku and Anaconda, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Microsoft Azure Synapse Analytics.
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.
