Top 8 Data Science Platforms Tools
AlteryxDatabricksKNIMEMicrosoft Azure Machine Learning StudioIBM SPSS StatisticsRapidMinerIBM SPSS ModelerDataiku Data Science Studio
You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price.
I like the solution's velocity, the speed with which it processes data, and its ease of use.
The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.
The workflows that you build in KNIME can be transferable and this process is a lot easier than with other types of technological setups.
I was able to apply basic algorithms through just dragging and dropping.
The most valuable feature is its compatibility with Tensorflow.
Azure's AutoML feature is probably better than the competition.
The most valuable features are the small learning curve and its ability to hold a lot of data.
SPSS is quite robust and quicker in terms of providing you the output.
We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space.
The supervised models are valuable. It is also very organized and easy to use.
You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.
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.
Advice From The CommunityRead answers to top Data Science Platforms questions. 564,643 professionals have gotten help from our community of experts.
Hello community members, There are many Data Science Platforms available. Which platform would you recommend that can handle large amounts of data? Why?
Question: What enterprise data analytics platform has the most powerful data visualization capabilities?
Hi peers, There are so many data science platforms to choose from. Which platform would you recommend to enterprise-level companies that want flexible and powerful data visualization capabilities to drill down into the data? What makes the solution that you recommend a better choice than others?