Top 8 Data Science Platforms
DatabricksAlteryxMicrosoft Azure Machine Learning StudioKNIMEIBM SPSS StatisticsRapidMinerIBM SPSS ModelerDataiku Data Science Studio
Popular Comparisons The most valuable feature of Databricks is the integration with Microsoft Azure.
This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities.
Popular Comparisons Alteryx effectively visualizes the flow of data and what happens at each stage. I also like that it's a no-code solution. I also like that you can troubleshoot certain parts of the workflow by putting them in a sandbox.
Popular Comparisons It's easy to deploy.
Auto email and studio are great features.
Popular Comparisons We have found KNIME valuable when it comes to its visualization.
Overall KNIME serves its purpose and does a good job.
Popular Comparisons The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.
Popular Comparisons 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.
Popular Comparisons The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well.
Popular Comparisons Data Science Studio's data science model is very useful.
The solution is quite stable.
Buyer's Guide
Data Science Platforms
July 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: July 2022.
619,967 professionals have used our research since 2012.
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Advice From The Community
Read answers to top Data Science Platforms questions. 619,967 professionals have gotten help from our community of experts.
Rony_Sklar
PeerSpot (formerly IT Central Station)
Hello community members,
There are many Data Science Platforms available. Which platform would you recommend that can handle large amounts of data? Why?
Rony_Sklar
PeerSpot (formerly IT Central Station)
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? Read More »
Glen Green
Sr. Project Manager at a manufacturing company with 10,001+ employees
I have experience working as a senior integration architect for AI/ML enablement for a manufacturing company with 10,000+ employees.
We are evaluating data science platforms. Which vendor offers an end-to-end solution that really works from features management to model deployment?
Thanks! I ... Read More »
Data Science Platforms Articles
Ariful Mondal
Consulting Practice Partner - Data, Analytics & AI at FH
Following primary steps should be followed in Predictive Modeling/AI-ML Modeling implementation process (ModelOps/MLOps/AIOps etc.)
Step 1: Understand Business Objective
Step 2: Define Modeling Goals
Step 3: Select/Get Data
Step 4: Prepare Data
Step 5: Analyze and Transform Variables/Featu... Read More »
Buyer's Guide
Data Science Platforms
July 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: July 2022.
619,967 professionals have used our research since 2012.
