We performed a comparison between Databricks and IBM SPSS Statistics 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 ease of use and its accessibility are valuable."
"The setup was straightforward."
"The ability to stream data and the windowing feature are valuable."
"It's great technology."
"Databricks integrates well with other solutions."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The integration with Python and the notebooks really helps."
"The technical support is good."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"in terms of the simplicity, I think the SPSS basic can handle it."
"It offers very good visualization."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"The pricing of Databricks could be cheaper."
"I believe that this product could be improved by becoming more user-friendly."
"The product cannot be integrated with a popular coding IDE."
"There are no direct connectors — they are very limited."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"We'd like a more visual dashboard for analysis It needs better UI."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"The reports could be better."
"I think the visualization and charting should be changed and made easier and more effective."
"There is a learning curve; it's not very steep, but there is one."
"This solution is not suitable for use with Big Data."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"It could allow adding color to data models to make them easier to interpret."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews. Databricks is rated 8.2, while IBM SPSS Statistics is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and SAS Analytics. See our Databricks vs. IBM SPSS Statistics report.
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